CN117311293A - Industrial main board based on remote management and control method thereof - Google Patents

Industrial main board based on remote management and control method thereof Download PDF

Info

Publication number
CN117311293A
CN117311293A CN202311594154.3A CN202311594154A CN117311293A CN 117311293 A CN117311293 A CN 117311293A CN 202311594154 A CN202311594154 A CN 202311594154A CN 117311293 A CN117311293 A CN 117311293A
Authority
CN
China
Prior art keywords
remote control
main board
energy consumption
speed
motherboard
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202311594154.3A
Other languages
Chinese (zh)
Other versions
CN117311293B (en
Inventor
吴丰义
吴世杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Lingyi Technology Co ltd
Original Assignee
Shenzhen Lingyi Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Lingyi Technology Co ltd filed Critical Shenzhen Lingyi Technology Co ltd
Priority to CN202311594154.3A priority Critical patent/CN117311293B/en
Publication of CN117311293A publication Critical patent/CN117311293A/en
Application granted granted Critical
Publication of CN117311293B publication Critical patent/CN117311293B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/4183Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/32Operator till task planning
    • G05B2219/32252Scheduling production, machining, job shop

Landscapes

  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Selective Calling Equipment (AREA)

Abstract

The utility model provides an industrial motherboard and control method thereof based on remote management, through a plurality of motherboard remote control data sections of confirming remote control data, and then confirm a plurality of motherboard remote control homogeneous velocity, confirm remote control even coefficient and a plurality of motherboard remote control energy consumption components according to all motherboard remote control homogeneous velocity, and then confirm energy consumption time sequence coefficient, confirm a plurality of motherboard even adjustment energy consumption according to energy consumption time sequence coefficient and remote control even coefficient, confirm a plurality of motherboard remote control trusted velocity according to all motherboard even adjustment energy consumption and all motherboard remote control homogeneous velocity, confirm the speed ladder coefficient according to all motherboard remote control trusted velocity, confirm the motherboard remote control energy consumption stage volume of every motherboard remote control trusted velocity according to speed ladder coefficient, and then adjust the energy consumption of every motherboard remote control data section, can improve industrial motherboard in the remote data transmission in-process consumption utilization ratio.

Description

Industrial main board based on remote management and control method thereof
Technical Field
The application relates to the technical field of industrial mainboards, in particular to an industrial mainboard based on remote management and a control method thereof.
Background
Industrial motherboards, also known as industrial control motherboards or industrial control computer motherboards, are computer motherboards specifically designed for industrial automation and control applications. Industrial motherboards generally have higher reliability, stability, and durability than consumer grade motherboards to accommodate the harsh conditions of an industrial environment.
The industrial main board based on remote management and the control method thereof can be controlled and managed in various ways to ensure the stability and reliability, the remote management technology can be used for management and monitoring, the management of AMT, KVM remote control, hardware inventory, security and network configuration is provided, the specific control method and tool depend on the model, hardware configuration and operating system of the industrial main board, the specification of the industrial main board needs to be known in detail before the industrial main board is used, and the industrial main board is ensured to support the required remote management and control function.
Disclosure of Invention
The application provides an industrial main board based on remote management and a control method thereof, which are used for improving the technical problem of power consumption utilization rate of the industrial main board in a remote data transmission process.
In order to solve the technical problems, the application adopts the following technical scheme:
in a first aspect, the present application provides a control method for an industrial motherboard based on remote management, including the following steps:
acquiring remote control data of an industrial main board, and further determining a plurality of main board remote control data segments of the remote control data;
performing remote control speed equalization on each main board remote control data section to obtain main board remote control homogeneous speed of each main board remote control data section, determining remote control uniform coefficients according to all main board remote control homogeneous speeds, determining main board remote control energy consumption components of each main board remote control homogeneous speed, and performing remote control time sequence quantification on all main board remote control energy consumption components to obtain energy time sequence coefficients;
determining the main board uniform adjustment energy consumption of each main board remote control energy consumption component according to the energy consumption time sequence coefficient and the remote control uniform coefficient, selecting one main board uniform adjustment energy consumption, performing remote control credibility on the main board remote control uniform speed corresponding to the main board uniform adjustment energy consumption to obtain main board remote control credibility speed of the main board uniform adjustment energy consumption, and repeating the steps for the rest main boards uniform adjustment energy consumption to obtain main board remote control credibility speed of the rest main board uniform adjustment energy consumption;
performing speed stepping on all the main board remote control credible speeds to obtain a speed step coefficient, and determining the main board remote control energy consumption stage quantity of each main board remote control credible speed according to the speed step coefficient;
and adjusting the energy consumption of each main board remote control data section of the remote control data of the industrial main board according to all main board remote control energy consumption stage quantities.
In some embodiments, performing remote control speed leveling on each main board remote control data segment to obtain a main board remote control speed leveling speed of each main board remote control data segment specifically includes:
acquiring a speed clearance coefficient and a data transmission speed;
and determining the master board remote control homogeneous speed of each master board remote control data section according to the speed clearance coefficient, the data transmission speed and the master board remote control data section.
In some embodiments, determining the motherboard remote control energy consumption component of each motherboard remote control homogeneous speed specifically includes:
acquiring a value of a data length of a main board remote control data section corresponding to the homogeneous speed of each main board remote control;
and determining a main board remote control energy consumption component of each main board remote control homogeneous speed according to the value of the data length of the main board remote control data section corresponding to each main board remote control homogeneous speed and each main board remote control homogeneous speed.
In some embodiments, performing remote control timing quantization on all the remote control energy consumption components of the motherboard to obtain an energy time sequence coefficient specifically includes:
acquiring the total number of all the remote control energy consumption components of the main board;
determining the difference value of all adjacent main board remote control energy consumption components;
and determining the energy consumption time sequence coefficient according to the total number of all the main board remote control energy consumption components and the difference value of all the adjacent main board remote control energy consumption components.
In some embodiments, determining a motherboard uniformity adjustment energy consumption amount for each motherboard remote control energy consumption component based on the energy consumption timing coefficients and the remote control uniformity coefficients specifically includes:
acquiring energy time sequence coefficients
Obtaining a remote control uniformity coefficient
Acquisition of the firstRemote control energy consumption component of personal motherboard>
Acquisition of the firstRemote control homogeneous speed of personal motherboard>
According to the energy-time sequence coefficientThe remote control uniformity coefficient->The%>Remote control energy consumption component of personal motherboard>And said->Remote control homogeneous speed of personal motherboard>Determining the motherboard uniform adjustment energy consumption of the motherboard remote control energy consumption component, wherein the motherboard uniform adjustment energy consumption is determined according to the following formula:
wherein,indicate->The main board for remotely controlling the energy consumption components of each main board uniformly adjusts the energy consumption, and the main board is +.>Indicating the total number of remote control homogeneous speeds of all main boards,/->And representing the maximum value of the remote control homogeneous speeds of the main board in all the remote control homogeneous speeds of the main board.
In some embodiments, performing remote control credibility on the motherboard remote control homogeneous speed corresponding to the motherboard uniform adjustment energy consumption, where obtaining the motherboard remote control credible speed of the motherboard uniform adjustment energy consumption specifically includes:
obtaining the difference value between the uniform adjustment energy consumption of the main board and the adjacent uniform adjustment energy consumption of the main board;
and determining the main board remote control credible speed of the main board uniformly adjusting the energy consumption according to the difference value between the uniformly adjusting energy consumption of the main board and the adjacent main board and the main board remote control homogeneous speed corresponding to the uniformly adjusting energy consumption of the main board.
In some embodiments, performing speed stepping on all the remote control trusted speeds of the main board to obtain a speed step coefficient specifically includes:
determining the ratio of the remote control trusted speeds of each group of adjacent mainboards according to all the remote control trusted speeds of the mainboards;
and determining a speed step coefficient according to the ratio of the remote control trusted speeds of all adjacent mainboards.
In a second aspect, the present application provides an industrial motherboard based on remote management, which includes a remote management control unit, where the remote management control unit includes:
the main board remote control data section determining module is used for acquiring remote control data of the industrial main board and further determining a plurality of main board remote control data sections of the remote control data;
the energy-consuming time sequence coefficient acquisition module is used for carrying out remote control speed equalization on each main board remote control data section to obtain main board remote control uniform speed of each main board remote control data section, determining remote control uniform coefficients according to all main board remote control uniform speeds, determining main board remote control energy consumption components of each main board remote control uniform speed, and carrying out remote control time sequence quantification on all main board remote control energy consumption components to obtain energy-consuming time sequence coefficients;
the main board remote control trusted speed acquisition module is used for determining main board uniform adjustment energy consumption of each main board remote control energy consumption component according to the energy consumption time sequence coefficient and the remote control uniform coefficient, selecting one main board uniform adjustment energy consumption, performing remote control trusted on the main board remote control homogeneous speed corresponding to the main board uniform adjustment energy consumption to obtain main board remote control trusted speed of the main board uniform adjustment energy consumption, uniformly adjusting the energy consumption for the rest main boards, and repeating the steps to obtain main board remote control trusted speed of the rest main board uniform adjustment energy consumption;
the main board remote control energy consumption stage quantity acquisition module is used for carrying out speed stepping on all main board remote control trusted speeds to obtain a speed step coefficient, and determining the main board remote control energy consumption stage quantity of each main board remote control trusted speed according to the speed step coefficient;
and the energy consumption determining module is used for adjusting the energy consumption of each main board remote control data section of the remote control data of the industrial main board according to all main board remote control energy consumption stage amounts.
In a third aspect, the present application provides a computer device, the computer device including a memory storing code and a processor configured to obtain the code and perform the above-described control method based on a remote management industrial motherboard.
In a fourth aspect, the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the above-described control method for an industrial motherboard based on remote management.
The technical scheme provided by the embodiment of the application has the following beneficial effects:
according to the industrial main board based on remote management and the control method thereof, firstly, remote control data of the industrial main board are obtained, further, a plurality of main board remote control data sections of the remote control data are determined, remote control speed leveling is carried out on each main board remote control data section, the main board remote control uniform speed of each main board remote control data section is obtained, remote control uniform coefficients are determined according to all main board remote control uniform speeds, main board remote control energy consumption components of each main board remote control uniform speed are determined, remote control time sequence quantization is carried out on all main board remote control energy consumption components, energy consumption time sequence coefficients are obtained, main board uniform adjustment energy consumption of each main board remote control energy consumption component is determined according to the energy consumption time sequence coefficients and the remote control uniform coefficients, remote control credible speed of the main board remote control corresponding to the main board uniform adjustment energy consumption is carried out on each main board uniform speed, the main board remote control uniform adjustment energy consumption variable is obtained, the main board remote control uniform speed is repeated, and the step-by-step speed of the main board remote control variable is carried out on the main board remote control variable speed corresponding to the main board uniform adjustment energy consumption, and the main board variable-by step-by variable speed.
In the method, firstly, by determining a plurality of main board remote control data sections of remote control data, further determining main board remote control homogeneous speeds of each main board remote control data section, determining remote control uniform coefficients and main board remote control energy consumption components of each main board remote control homogeneous speed according to all main board remote control homogeneous speeds, further determining energy consumption time sequence coefficients, determining main board uniform adjustment energy consumption of each main board remote control energy consumption component according to the energy consumption time sequence coefficients and the remote control uniform coefficients, wherein the main board uniform adjustment energy consumption is a value of actual energy consumption required by transmission of reaction data on an industrial main board, further determining a plurality of main board remote control reliable speeds according to all main board uniform adjustment energy consumption and all main board remote control homogeneous speeds, determining a main board remote control energy consumption stage quantity of each main board remote control reliable speed according to all main board remote control reliable speeds, and finally, adjusting the main board remote control energy consumption stage quantity to represent the minimum energy consumption value required by transmission of data on the industrial main board according to all the remote control energy consumption stage quantity, and further improving the industrial data consumption rate of each main board remote control data in the industrial main board remote control process.
Drawings
FIG. 1 is an exemplary flow chart of a method of remote management-based control of an industrial motherboard, according to some embodiments of the present application;
FIG. 2 is an example flow chart of determining a speed step factor according to some embodiments of the present application;
FIG. 3 is a schematic diagram of exemplary hardware and/or software of a remote management control unit shown in accordance with some embodiments of the present application;
fig. 4 is a schematic structural diagram of a computer device implementing a control method of an industrial motherboard based on remote management according to some embodiments of the present application.
Detailed Description
The method comprises the steps of determining a plurality of main board remote control data sections of remote control data, further determining main board remote control homogeneous speeds of each main board remote control data section, determining remote control uniform coefficients and main board remote control energy consumption components of each main board remote control homogeneous speed according to all main board remote control homogeneous speeds, further determining energy consumption time sequence coefficients, determining main board uniform adjustment energy consumption of each main board remote control energy consumption component according to the energy consumption time sequence coefficients and the remote control uniform coefficients, determining a plurality of main board remote control reliable speeds according to all main board uniform adjustment energy consumption and all main board remote control homogeneous speeds, determining speed step coefficients according to all main board remote control reliable speeds, determining main board remote control energy consumption stage quantities of each main board remote control reliable speed according to the speed step coefficients, and adjusting energy consumption of each main board remote control data section of remote control data of an industrial main board according to all main board remote control energy consumption stage quantities.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments. Referring to fig. 1, which is an exemplary flowchart of a control method of a remote management-based industrial main board according to some embodiments of the present application, the control method 100 of a remote management-based industrial main board mainly includes the following steps:
in step 101, remote control data of an industrial motherboard is obtained, and a plurality of motherboard remote control data segments of the remote control data are determined.
In specific implementation, remote control data of an industrial main board are obtained, namely: remote control data of the industrial main board with time sequence is acquired through the data acquisition device, wherein the remote control data comprise data of actions to be executed by the control device.
In specific implementation, determining a plurality of main board remote control data segments of the remote control data, namely: presetting a characteristic division coefficient through historical data, wherein the characteristic division coefficient is a segmentation parameter for carrying out average segmentation on remote control data, and the larger the characteristic division coefficient is, the more data segments are divided into by the remote control data; and carrying out average division on the remote control data through a preset characteristic division coefficient to obtain a plurality of main board remote control data segments of the remote control data, for example: the size of the characteristic division coefficient is 8, and the remote control data is divided into 9 pieces of remote control data on average for 8 times to obtain a main board remote control data piece of 9 pieces of remote control data.
In step 102, the remote control speed of each main board remote control data segment is homogenized, so as to obtain the main board remote control homogeneous speed of each main board remote control data segment, a remote control uniform coefficient is determined according to all the main board remote control homogeneous speeds, the main board remote control energy consumption component of each main board remote control homogeneous speed is determined, and the remote control time sequence quantization is performed on all the main board remote control energy consumption components, so as to obtain the energy consumption time sequence coefficient.
In some embodiments, the remote control speed leveling is performed on each main board remote control data segment, and the main board remote control speed leveling for obtaining each main board remote control data segment may be implemented by the following steps:
acquiring a speed clearance coefficient and a data transmission speed;
and determining the master board remote control homogeneous speed of each master board remote control data section according to the speed clearance coefficient, the data transmission speed and the master board remote control data section.
In the specific implementation, a speed clearance coefficient and a data transmission speed are obtained through a specification provided by an industrial main board provider, wherein the speed clearance coefficient is the size of an interval of data required to be adjusted on the industrial main board, the value range of the speed clearance coefficient is 0-1, the data transmission speed is the value of the theoretical transmission speed of the data on the industrial main board, the value range of the theoretical transmission speed of the data on the industrial main board is 12-25 GB/s, namely the value range of the data transmission speed is 12-25; taking the data transmission speed as the master board remote control homogeneous speed of the first-section master board remote control data section, adding the master board remote control homogeneous speed of the first-section master board remote control data section and the speed clearance value coefficient, taking the added value as the master board remote control homogeneous speed of the second-section master board remote control data section, and so on to obtain the master board remote control homogeneous speed of the rest master board remote control data section, and further obtaining the master board remote control homogeneous speed of each master board remote control data section.
It should be noted that, in the present application, the remote control speed uniformity is to set the transmission speed of each section of the remote control data section of the main board according to the speed gap coefficient and the data transmission speed, and the remote control uniformity speed of the main board is a value of the actual transmission speed of the reaction data on the industrial main board.
In some embodiments, the remote control uniformity coefficient may be determined from all motherboard remote control uniformity speeds using the following equation:
wherein,indicating the remote control uniformity coefficient,/>Indicate->Remote control of homogeneous speed of the individual main boards +.>Indicate->Remote control of homogeneous speed of the individual main boards +.>Indicating the total number of remote control homogeneous speeds of all main boards,/->Indicate->And the master boards remotely control the homogeneous speed.
In the specific implementation, the total number of the remote control homogeneous speeds of all the mainboards is obtained through MATLAB software in the prior art; it should be noted that, in the present application, the remote control uniformity coefficient is a parameter reflecting the adjustment degree of the remote control homogeneous speed of the main board, and the greater the remote control uniformity coefficient, the greater the adjustment degree of the remote control homogeneous speed of the main board.
In some embodiments, the motherboard remote control energy consumption component that determines the homogeneous speed of each motherboard remote control may be determined using the following formula:
wherein,indicate->Motherboard remote control energy consumption component of individual motherboard remote control homogeneous speed, +.>Indicating the current value of the industrial motherboard->Representing the voltage value of the industrial motherboard>Indicate->The value of the data length of the remote control data section of the individual motherboard,/->Indicate->And the motherboard remote control homogeneous speed of each motherboard remote control data section is obtained by the formula.
In the specific implementation, the current value of the industrial main board and the voltage value of the industrial main board are obtained through current collecting equipment and voltage collecting equipment, and the value of the data length of each main board remote control data section is obtained through MATLAB software in the prior art; it should be noted that the motherboard remote control energy consumption component in the present application is a value of theoretical energy consumption required in the process of transmitting reaction data on an industrial motherboard.
In some embodiments, the remote control timing quantization is performed on all the remote control energy consumption components of the motherboard, and the obtained energy consumption timing coefficient may be determined by the following formula:
wherein,represents the energy consumption time sequence coefficient, < >>Indicate->Remote control of the energy consumption components of the individual main boards +.>Indicate->Remote control of the energy consumption components of the individual main boards +.>Representing all of the main board remote control energy consumption componentsTotal number.
In the specific implementation, the total number of all the remote control energy consumption components of the main board is obtained through MATLAB software in the prior art.
It should be noted that, in the present application, the remote control timing quantization is to calculate a ratio of an average value of difference values of all adjacent main board remote control energy consumption components to a sum of all main board remote control energy consumption components, and use the ratio as an energy consumption timing coefficient; the energy consumption time sequence coefficient is a parameter reflecting the adjustment degree of the energy consumption component of the remote control of the main board, and the larger the energy consumption time sequence coefficient is, the larger the adjustment degree of the energy consumption component of the remote control of the main board is.
In step 103, determining the motherboard uniform adjustment energy consumption of each motherboard remote control energy consumption component according to the energy consumption time sequence coefficient and the remote control uniform coefficient, selecting one motherboard uniform adjustment energy consumption, performing remote control credibility on the motherboard remote control uniform speed corresponding to the motherboard uniform adjustment energy consumption, obtaining motherboard remote control credibility speed of the motherboard uniform adjustment energy consumption, uniformly adjusting the energy consumption of the remaining motherboard, and repeating the steps to obtain motherboard remote control credibility speed of the motherboard uniform adjustment energy consumption of the remaining motherboard.
In some embodiments, determining the motherboard uniformity adjustment energy consumption of each motherboard remote control energy consumption component according to the energy consumption time sequence coefficient and the remote control uniformity coefficient may be implemented by:
acquiring energy time sequence coefficients
Obtaining a remote control uniformity coefficient
Acquisition of the firstRemote control energy consumption component of personal motherboard>
Acquisition of the firstRemote control homogeneous speed of personal motherboard>
According to the energy-time sequence coefficientThe remote control uniformity coefficient->The%>Remote control energy consumption component of personal motherboard>And said->Remote control homogeneous speed of personal motherboard>Determining the motherboard uniform adjustment energy consumption of the motherboard remote control energy consumption component, wherein the motherboard uniform adjustment energy consumption is determined according to the following formula:
wherein,indicate->The main board for remotely controlling the energy consumption components of each main board uniformly adjusts the energy consumption, and the main board is +.>Representing the total number of remote control homogeneous speeds for all motherboards,/>and representing the maximum value of the remote control homogeneous speeds of the main board in all the remote control homogeneous speeds of the main board.
In the specific implementation, the total number of all the remote control homogeneous speeds of the main board is obtained through MATLAB software in the prior art, and the maximum value of the remote control homogeneous speeds of the main board in all the remote control homogeneous speeds of the main board is obtained through Python software in the prior art; it should be noted that, the uniform adjustment of the power consumption of the motherboard in the present application is a value of actual power consumption required for transmitting the reaction data on the industrial motherboard.
In some embodiments, the remote control reliability is performed on the motherboard remote control homogeneous speed corresponding to the motherboard uniform adjustment energy consumption, and the motherboard remote control reliability obtained by uniformly adjusting the energy consumption of the motherboard can be determined by adopting the following formula:
wherein,indicate->Main board remote control credible speed for uniformly adjusting energy consumption of each main board is +.>Indicate->The energy consumption of each main board is uniformly regulated, +.>Indicate->The energy consumption of each main board is uniformly regulated, +.>Indicate->Remote control of the energy consumption components of the individual main boards +.>Indicate->Remote control of the energy consumption components of the individual main boards +.>Indicate->And the master boards remotely control the homogeneous speed.
It should be noted that, the remote control credibility in the present application means that the difference value of the adjacent motherboard uniform adjustment energy consumption is divided by the difference value of the adjacent motherboard remote control energy consumption component corresponding to the adjacent motherboard uniform adjustment energy consumption, the absolute value of the divided value is multiplied by the motherboard remote control homogeneous speed corresponding to the previous motherboard uniform adjustment energy consumption in the adjacent motherboard uniform adjustment energy consumption, and the multiplied value is used as the motherboard remote control credibility speed.
In addition, it should be noted that the remote control trusted speed of the motherboard in the present application is a value of the actual speed of the reaction data during the transmission process on the industrial motherboard.
And when the method is specifically implemented, the steps of carrying out remote control credibility on the main board remote control uniform speed corresponding to the main board uniform adjustment energy consumption are repeated for the rest main board uniform adjustment energy consumption, so as to obtain the main board remote control credible speed of the main board uniform adjustment energy consumption, and the obtained main board remote control credible speed of the rest main board uniform adjustment energy consumption.
In step 104, speed stepping is performed on all the main board remote control trusted speeds to obtain a speed step coefficient, and the main board remote control energy consumption stage quantity of each main board remote control trusted speed is determined according to the speed step coefficient.
In some embodiments, reference is made to fig. 2, which is a schematic flow chart illustrating a determination of a speed step coefficient according to some embodiments of the present application, where the determination of the speed step coefficient may be implemented by the following steps:
in step 1041, determining a ratio of each set of adjacent motherboard remote control trusted speeds according to all the motherboard remote control trusted speeds;
in step 1042, a speed step factor is determined based on the ratio of all adjacent motherboard remote control trusted speeds.
In the specific implementation, selecting a group of adjacent main board remote control trusted speeds from all main board remote control trusted speeds, dividing the former main board remote control trusted speed and the latter main board remote control trusted speed of the group of adjacent main board remote control trusted speeds, taking the divided value as the ratio of the adjacent main board remote control trusted speeds, repeating the steps for the rest adjacent main board remote control trusted speeds in all main board remote control trusted speeds to obtain the ratio of the rest adjacent main board remote control trusted speeds, and taking the average value of the ratios of all adjacent main board remote control trusted speeds as a speed step coefficient.
It should be noted that, in the present application, the speed step is a parameter that uses an average value of the ratios of all adjacent main board remote control trusted speeds as a speed step coefficient, where the speed step coefficient represents the degree to which each main board remote control trusted speed increases or decreases.
In some embodiments, determining the motherboard remote control power consumption stage amount of each motherboard remote control trusted speed according to the speed step coefficient may be implemented by:
acquisition of the firstPersonal motherboard remote control trusted speed +.>
Acquisition of the firstValue of data width of remote control data section of personal motherboard +.>
Acquisition of the firstValue of data length of remote control data section of personal motherboard +.>
Acquisition of the firstRemote control homogeneous speed of personal motherboard>
Acquisition of the firstRemote control homogeneous speed of personal motherboard>
Obtaining a step coefficient of velocity
According to the firstPersonal motherboard remote control trusted speed +.>Said->Value of data width of remote control data section of personal motherboard +.>Said->Value of data length of remote control data section of personal motherboard +.>Said->Remote control homogeneous speed of personal motherboard>Said->Remote control homogeneous speed of personal motherboard>And the velocity step coefficientDetermining the main board remote control energy consumption stage quantity of the main board remote control credible speed, wherein the main board remote control energy consumption stage quantity is determined according to the following formula:
wherein,indicate->Main board remote control energy consumption stage quantity of trusted speed of remote control of each main board, < +.>Indicating the current value of the industrial motherboard->Representing the voltage value of the industrial motherboard.
In the concrete implementation, the MATLAB software in the prior art is used for acquiring the data width values of all the remote control data segments of the main board; it should be noted that, in the present application, the main board remote control energy consumption stage amount indicates the minimum energy consumption value required for data transmission on the industrial main board, for example, the minimum energy consumption required for data transmission on the industrial main board is 10KWh, and then the main board remote control energy consumption stage amount is 10.
In step 105, the energy consumption of each motherboard remote control data segment of the remote control data of the industrial motherboard is adjusted according to all motherboard remote control energy consumption phase amounts.
In the specific implementation, each main board remote control data section of the remote control data of the industrial main board is obtained, one main board remote control data section is selected, the main board remote control energy consumption stage quantity corresponding to the main board remote control data section is used as the energy consumption value of the main board remote control data section, and the steps are repeated for the rest main board remote control data sections to obtain the energy consumption value of the rest main board remote control data sections; and using the energy consumption of each main board remote control data section of the remote control data of the industrial main board for the remote management of the industrial main board.
In addition, in another aspect of the present application, in some embodiments, the present application provides a remote management-based industrial motherboard including a remote management control unit, and referring to fig. 3, which is a schematic diagram of exemplary hardware and/or software of the remote management control unit according to some embodiments of the present application, the remote management control unit 300 includes: the main board remote control data segment determining module 301, the energy time sequence coefficient obtaining module 302, the main board remote control trusted speed obtaining module 303, the main board remote control energy consumption stage amount obtaining module 304 and the main board remote control data segment energy consumption determining module 305 are respectively described as follows:
the main board remote control data section determining module 301 is mainly used for obtaining remote control data of an industrial main board, so as to determine a plurality of main board remote control data sections of the remote control data;
the energy-time-sequence-based coefficient acquisition module 302 is mainly used for performing remote control speed leveling on each main board remote control data segment to obtain main board remote control uniform speed of each main board remote control data segment, determining remote control uniform coefficients according to all main board remote control uniform speeds, determining main board remote control energy consumption components of each main board remote control uniform speed, and performing remote control time sequence quantization on all main board remote control energy consumption components to obtain energy-time-sequence-based coefficients;
the main board remote control trusted speed obtaining module 303, where the main board remote control trusted speed obtaining module 303 is mainly configured to determine a main board uniform adjustment energy consumption of each main board remote control energy consumption component according to the energy consumption time sequence coefficient and the remote control uniform coefficient, select one main board uniform adjustment energy consumption, perform remote control trusted on a main board remote control uniform speed corresponding to the main board uniform adjustment energy consumption, obtain a main board remote control trusted speed of the main board uniform adjustment energy consumption, uniformly adjust energy consumption for the remaining main boards, and repeat the above steps to obtain a main board remote control trusted speed of the remaining main board uniform adjustment energy consumption;
the main board remote control energy consumption stage quantity acquisition module 304 is mainly used for carrying out speed stepping on all main board remote control trusted speeds to obtain a speed step coefficient, and determining main board remote control energy consumption stage quantity of each main board remote control trusted speed according to the speed step coefficient;
the energy consumption determining module 305 of the remote control data segment of the main board is mainly used for adjusting the energy consumption of each remote control data segment of the remote control data of the industrial main board according to the energy consumption stage amounts of all remote control of the main board.
In addition, the application also provides a computer device, which comprises a memory and a processor, wherein the memory stores codes, and the processor is configured to acquire the codes and execute the control method of the industrial main board based on remote management.
In some embodiments, reference is made to fig. 4, which is a schematic structural diagram of a computer device employing a remote management-based control method for an industrial motherboard according to some embodiments of the present application. The control method of the industrial main board based on remote management in the above embodiment may be implemented by a computer device shown in fig. 4, where the computer device includes at least one processor 401, a communication bus 402, a memory 403, and at least one communication interface 404.
The processor 401 may be a general purpose central processing unit (central processing unit, CPU), application-specific integrated circuit (ASIC), or execution of one or more control methods for controlling the remote management-based industrial motherboard in the present application.
Communication bus 402 may include a path to transfer information between the aforementioned components.
The Memory 403 may be, but is not limited to, a read-only Memory (ROM) or other type of static storage device that can store static information and instructions, a random access Memory (random access Memory, RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only Memory (electrically erasable programmable read-only Memory, EEPROM), a compact disc (compact disc read-only Memory) or other optical disk storage, optical disk storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory 403 may be self-contained and be coupled to the processor 401 via the communication bus 402. Memory 403 may also be integrated with processor 401.
The memory 403 is used for storing program codes for executing the embodiments of the present application, and is controlled by the processor 401 to execute the embodiments. The processor 401 is used to execute program code stored in the memory 403. One or more software modules may be included in the program code. The determination of the remote control trusted speed of the motherboard in the above embodiments may be implemented by one or more software modules in the processor 401 and in the program code in the memory 403.
The communication interface 404 uses any transceiver-like device for communicating with other devices or communication networks, such as ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local area networks, WLAN), etc.
In a specific implementation, as an embodiment, a computer device may include a plurality of processors, where each of the processors may be a single-core (single-CPU) processor or may be a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
The computer device may be a general purpose computer device or a special purpose computer device. In particular implementations, the computer device may be a desktop, laptop, web server, palmtop (personal digital assistant, PDA), mobile handset, tablet, wireless terminal device, communication device, or embedded device. Embodiments of the present application are not limited in the type of computer device.
In addition, the application further provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the control method of the industrial main board based on remote management when being executed by a processor.
In summary, in the industrial motherboard based on remote management and the control method thereof disclosed in the embodiments of the present application, first, by determining multiple motherboard remote control data segments of remote control data, further determining motherboard remote control homogeneous speed of each motherboard remote control data segment, determining remote control homogeneous coefficients and motherboard remote control energy consumption components of each motherboard remote control homogeneous speed according to all motherboard remote control homogeneous speeds, further determining energy consumption time sequence coefficients, determining motherboard uniform adjustment energy consumption of each motherboard remote control energy consumption component according to energy consumption time sequence coefficients and remote control homogeneous coefficients, determining multiple motherboard remote control trusted speeds according to all motherboard uniform adjustment energy consumption and all motherboard remote control homogeneous speeds, determining speed step coefficients according to all motherboard remote control trusted speeds, determining motherboard remote control energy consumption stage amounts of each motherboard remote control trusted speed according to speed step coefficients, and adjusting energy consumption of each motherboard remote control data segment of remote control data of industrial motherboard according to all motherboard remote control energy consumption stage amounts, thereby improving power consumption rate of industrial motherboard in remote data transmission process.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the invention. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.

Claims (10)

1. The control method of the industrial main board based on remote management is characterized by comprising the following steps:
acquiring remote control data of an industrial main board, and further determining a plurality of main board remote control data segments of the remote control data;
performing remote control speed equalization on each main board remote control data section to obtain main board remote control homogeneous speed of each main board remote control data section, determining remote control uniform coefficients according to all main board remote control homogeneous speeds, further determining main board remote control energy consumption components of each main board remote control homogeneous speed, and performing remote control time sequence quantification on all main board remote control energy consumption components to obtain energy time sequence coefficients;
determining the main board uniform adjustment energy consumption of each main board remote control energy consumption component according to the energy consumption time sequence coefficient and the remote control uniform coefficient, selecting one main board uniform adjustment energy consumption, performing remote control credibility on the main board remote control uniform speed corresponding to the main board uniform adjustment energy consumption to obtain main board remote control credibility speed of the main board uniform adjustment energy consumption, and repeating the steps for the rest main boards uniform adjustment energy consumption to obtain main board remote control credibility speed of the rest main board uniform adjustment energy consumption;
performing speed stepping on all the main board remote control credible speeds to obtain a speed step coefficient, and determining the main board remote control energy consumption stage quantity of each main board remote control credible speed according to the speed step coefficient;
and adjusting the energy consumption of each main board remote control data section of the remote control data of the industrial main board according to all main board remote control energy consumption stage quantities.
2. The method of claim 1, wherein performing remote control speed leveling on each of the motherboard remote control data segments to obtain motherboard remote control speed leveling for each of the motherboard remote control data segments comprises:
acquiring a speed clearance coefficient and a data transmission speed;
and determining the motherboard remote control homogeneous speed of each motherboard remote control data segment according to the speed clearance coefficient, the data transmission speed and each motherboard remote control data segment.
3. The method of claim 1, wherein determining a motherboard remote control energy consumption component for each motherboard remote control homogeneous speed comprises:
acquiring a value of a data length of a main board remote control data section corresponding to the homogeneous speed of each main board remote control;
and determining a main board remote control energy consumption component of each main board remote control homogeneous speed according to the value of the data length of the main board remote control data section corresponding to each main board remote control homogeneous speed and each main board remote control homogeneous speed.
4. The method of claim 1, wherein performing remote control timing quantization on all the remote control power consumption components of the motherboard to obtain power consumption time sequence coefficients specifically comprises:
acquiring the total number of all the remote control energy consumption components of the main board;
determining the difference value of all adjacent main board remote control energy consumption components;
and determining the energy consumption time sequence coefficient according to the total number of all the main board remote control energy consumption components and the difference value of all the adjacent main board remote control energy consumption components.
5. The method of claim 1, wherein determining a motherboard uniformity adjustment energy consumption amount for each motherboard remote control energy consumption component based on the energy consumption timing coefficients and the remote control uniformity coefficients comprises:
acquiring energy time sequence coefficients
Obtaining a remote control uniformity coefficient
Acquisition of the firstRemote control energy consumption component of personal motherboard>
Acquisition of the firstRemote control homogeneous speed of personal motherboard>
According to the energy-time sequence coefficientThe remote control uniformity coefficient->The%>Remote control energy consumption component of personal motherboard>And said->Remote control homogeneous speed of personal motherboard>Determining the motherboard uniform adjustment energy consumption of the motherboard remote control energy consumption component, wherein the motherboard uniform adjustment energy consumption is determined according to the following formula:
wherein,indicate->The main board for remotely controlling the energy consumption components of each main board uniformly adjusts the energy consumption, and the main board is +.>Indicating the total number of remote control homogeneous speeds of all main boards,/->Representing allThe maximum value of the motherboard remote control homogeneous speed in the motherboard remote control homogeneous speed.
6. The method of claim 1, wherein the performing remote control credibility on the motherboard remote control homogeneous speed corresponding to the motherboard uniform adjustment energy consumption comprises:
determining the difference value between the uniform adjustment energy consumption of the main board and the adjacent uniform adjustment energy consumption of the main board;
and determining the main board remote control credible speed of the main board for uniformly adjusting the energy consumption according to the difference value and the main board remote control homogeneous speed corresponding to the uniform adjustment energy consumption of the main board.
7. The method of claim 1, wherein performing a speed step on all the remote control trusted speeds of the motherboard to obtain a speed step factor specifically comprises:
determining the ratio of the remote control trusted speeds of each group of adjacent mainboards according to all the remote control trusted speeds of the mainboards;
and determining a speed step coefficient according to the ratio of the remote control trusted speeds of all adjacent mainboards.
8. The utility model provides an industry mainboard based on remote management which characterized in that, including remote management control unit, remote management control unit includes:
the main board remote control data section determining module is used for acquiring remote control data of the industrial main board and further determining a plurality of main board remote control data sections of the remote control data;
the energy-consuming time sequence coefficient acquisition module is used for carrying out remote control speed equalization on each main board remote control data section to obtain main board remote control uniform speed of each main board remote control data section, determining remote control uniform coefficients according to all main board remote control uniform speeds, determining main board remote control energy consumption components of each main board remote control uniform speed, and carrying out remote control time sequence quantification on all main board remote control energy consumption components to obtain energy-consuming time sequence coefficients;
the main board remote control trusted speed acquisition module is used for determining main board uniform adjustment energy consumption of each main board remote control energy consumption component according to the energy consumption time sequence coefficient and the remote control uniform coefficient, selecting one main board uniform adjustment energy consumption, performing remote control trusted on the main board remote control homogeneous speed corresponding to the main board uniform adjustment energy consumption to obtain main board remote control trusted speed of the main board uniform adjustment energy consumption, uniformly adjusting the energy consumption for the rest main boards, and repeating the steps to obtain main board remote control trusted speed of the rest main board uniform adjustment energy consumption;
the main board remote control energy consumption stage quantity acquisition module is used for carrying out speed stepping on all main board remote control trusted speeds to obtain a speed step coefficient, and determining the main board remote control energy consumption stage quantity of each main board remote control trusted speed according to the speed step coefficient;
and the energy consumption determining module is used for adjusting the energy consumption of each main board remote control data section of the remote control data of the industrial main board according to all main board remote control energy consumption stage amounts.
9. A computer device comprising a memory storing code and a processor configured to obtain the code and to perform the method of controlling a remote management based industrial motherboard according to any of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the remote management-based control method of the industrial main board according to any one of claims 1 to 7.
CN202311594154.3A 2023-11-27 2023-11-27 Industrial main board based on remote management and control method thereof Active CN117311293B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311594154.3A CN117311293B (en) 2023-11-27 2023-11-27 Industrial main board based on remote management and control method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311594154.3A CN117311293B (en) 2023-11-27 2023-11-27 Industrial main board based on remote management and control method thereof

Publications (2)

Publication Number Publication Date
CN117311293A true CN117311293A (en) 2023-12-29
CN117311293B CN117311293B (en) 2024-04-02

Family

ID=89288706

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311594154.3A Active CN117311293B (en) 2023-11-27 2023-11-27 Industrial main board based on remote management and control method thereof

Country Status (1)

Country Link
CN (1) CN117311293B (en)

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120030492A1 (en) * 2010-07-27 2012-02-02 Inventec Corporation Server system
CN102506025A (en) * 2011-11-25 2012-06-20 中国人民解放军国防科学技术大学 12V direct-current air cooling control module
US20120265357A1 (en) * 2011-04-13 2012-10-18 Fujitsu Limited Measure Energy Consumption and Determine Energy-Consumption Patterns for Electricity-Consuming Devices
CN104754019A (en) * 2013-12-31 2015-07-01 研祥智能科技股份有限公司 Industrial server monitoring system and method
CN204820647U (en) * 2015-07-13 2015-12-02 衢州龙威塑胶有限公司 Printing machine of high cold -resistant type PVC printing membrane of preparation
CN106789898A (en) * 2016-11-18 2017-05-31 杭州塔网科技有限公司 Remote data transmission terminal, system and its coding, coding/decoding method
CN107203396A (en) * 2017-05-23 2017-09-26 中山市明阳电器有限公司 A kind of Industry Control plate and its update method by network online updating program
CN207281508U (en) * 2017-06-29 2018-04-27 青岛海尔空调电子有限公司 A kind of air conditioner control circuit and air conditioner
CN208283795U (en) * 2018-04-24 2018-12-25 东莞市绿能环保节能科技有限公司 energy management control system
CN111552248A (en) * 2020-05-11 2020-08-18 河南华东工控技术有限公司 Method for intelligent control system equipment OEE remote operation and maintenance
CN116311829A (en) * 2023-05-22 2023-06-23 广州豪特节能环保科技股份有限公司 Remote alarm method and device for data machine room
CN116866095A (en) * 2023-09-04 2023-10-10 深圳国冶星光电科技股份有限公司 Industrial router with touch panel and standby control method thereof

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120030492A1 (en) * 2010-07-27 2012-02-02 Inventec Corporation Server system
US20120265357A1 (en) * 2011-04-13 2012-10-18 Fujitsu Limited Measure Energy Consumption and Determine Energy-Consumption Patterns for Electricity-Consuming Devices
CN102506025A (en) * 2011-11-25 2012-06-20 中国人民解放军国防科学技术大学 12V direct-current air cooling control module
CN104754019A (en) * 2013-12-31 2015-07-01 研祥智能科技股份有限公司 Industrial server monitoring system and method
CN204820647U (en) * 2015-07-13 2015-12-02 衢州龙威塑胶有限公司 Printing machine of high cold -resistant type PVC printing membrane of preparation
CN106789898A (en) * 2016-11-18 2017-05-31 杭州塔网科技有限公司 Remote data transmission terminal, system and its coding, coding/decoding method
CN107203396A (en) * 2017-05-23 2017-09-26 中山市明阳电器有限公司 A kind of Industry Control plate and its update method by network online updating program
CN207281508U (en) * 2017-06-29 2018-04-27 青岛海尔空调电子有限公司 A kind of air conditioner control circuit and air conditioner
CN208283795U (en) * 2018-04-24 2018-12-25 东莞市绿能环保节能科技有限公司 energy management control system
CN111552248A (en) * 2020-05-11 2020-08-18 河南华东工控技术有限公司 Method for intelligent control system equipment OEE remote operation and maintenance
CN116311829A (en) * 2023-05-22 2023-06-23 广州豪特节能环保科技股份有限公司 Remote alarm method and device for data machine room
CN116866095A (en) * 2023-09-04 2023-10-10 深圳国冶星光电科技股份有限公司 Industrial router with touch panel and standby control method thereof

Also Published As

Publication number Publication date
CN117311293B (en) 2024-04-02

Similar Documents

Publication Publication Date Title
CN110073567B (en) Distributed resource power demand prediction system and method
CN114500339B (en) Node bandwidth monitoring method and device, electronic equipment and storage medium
CN115062877B (en) Power equipment material information adjusting method, device, equipment and computer medium
CN111310105B (en) Method and device for determining labor plan
CN104243531A (en) Data processing method, device and system
CN104202305A (en) Transcoding processing method and device, server
CN114077296A (en) Method and device for controlling output power of power supply and related equipment
CN117311293B (en) Industrial main board based on remote management and control method thereof
CN114238856A (en) Method, device and equipment for solving future prediction error of wind and light resources and storage medium
CN105045873A (en) Data file pushing method, apparatus and system
EP3401867A1 (en) Information publishing method, information publishing device and storage medium
CN115456194B (en) Model training control method, device and system based on asynchronous federal learning
CN116526678A (en) Intelligent computing center power supply elastic scheduling system and control method thereof
CN115941802A (en) Remote state estimation sensor scheduling method, scheduler and information physical system
CN110838989A (en) Method and device for network current limiting based on token
CN111666535B (en) Method and device for determining active time length of user, electronic equipment and storage medium
CN112527454A (en) Container group scheduling method and device, electronic equipment and computer readable medium
CN112036607A (en) Wind power output fluctuation prediction method and device based on output level and storage medium
CN117350517B (en) Control method, system, equipment and storage medium for chemical production flow
CN113904562B (en) Closed-loop control method and device for isolated bidirectional converter and electronic equipment
CN117726150B (en) Energy station energy supply allocation method and equipment based on energy utilization data of preset time period
CN113762510B (en) Data processing method and device for target model, electronic equipment and medium
CN117290171B (en) Memory chip testing equipment and method
CN113689108B (en) Multi-objective optimization method and device based on ecological banking system
CN111309690B (en) G code data lossless compression method for numerical control machine tool

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant