CN111865817A - Load balancing control method, device and equipment for remote measuring collector and storage medium - Google Patents

Load balancing control method, device and equipment for remote measuring collector and storage medium Download PDF

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Publication number
CN111865817A
CN111865817A CN202010582710.5A CN202010582710A CN111865817A CN 111865817 A CN111865817 A CN 111865817A CN 202010582710 A CN202010582710 A CN 202010582710A CN 111865817 A CN111865817 A CN 111865817A
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collector
current
telemetering
load
load balancing
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文奇
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Fiberhome Telecommunication Technologies Co Ltd
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Fiberhome Telecommunication Technologies Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00—Traffic control in data switching networks
    • H04L47/10—Flow control; Congestion control
    • H04L47/12—Avoiding congestion; Recovering from congestion
    • H04L47/125—Avoiding congestion; Recovering from congestion by balancing the load, e.g. traffic engineering
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06—Management of faults, events, alarms or notifications
    • H04L41/0677—Localisation of faults
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08—Configuration management of networks or network elements
    • H04L41/0803—Configuration setting
    • H04L41/0823—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/02—Capturing of monitoring data
    • H04L43/022—Capturing of monitoring data by sampling
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/04—Processing captured monitoring data, e.g. for logfile generation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/10—Active monitoring, e.g. heartbeat, ping or trace-route

Abstract

The invention discloses a load balancing control method, a device, equipment and a storage medium for a remote measuring collector, wherein the method receives current running state data reported by the current remote measuring collector; judging whether the current telemetering collector is out of limit according to the current running state data; when the load of the current telemetering collector exceeds the limit, transferring the target service executed by the current telemetering collector to a target standby telemetering collector for processing; the acquisition targets can be quickly switched among different remote measurement acquisition units, pressure balance is realized, resources can be saved, the working efficiency of the acquisition units is improved, various items of data of the acquisition equipment can be quickly and stably acquired, the reported data of the equipment can be responded timely, the data safety is maintained, the analysis and calculation of an upper-layer system are powerfully supported, and the most important big data basis is provided for quick positioning of network problems and optimization and adjustment of network quality.

Description

Load balancing control method, device and equipment for remote measuring collector and storage medium
Technical Field
The invention relates to the technical field of data transmission, in particular to a method, a device, equipment and a storage medium for load balancing control of a remote measuring collector.
Background
Telemetry telemetrology is a remote technology for collecting data from physical or virtual devices at high speed; the device periodically and actively sends information such as interface flow statistics, a Central Processing Unit (CPU) or memory data of the device to the collector through a Push Mode, and compared with a traditional Pull Mode (Pull Mode), the device provides a data collection function with real time and high speed.
With the increasing scale of Software Defined Networking (SDN) devices, the number of services carried by the SDN devices is increasing, and users have higher requirements on intelligent operation and maintenance of the SDN networks, including that monitoring data has higher precision so as to detect and quickly adjust micro-burst traffic in time, and meanwhile, a monitoring process has little influence on the functions and performance of the devices so as to improve the utilization rates of the devices and the networks.
In a conventional Network monitoring manner (e.g., Simple Network Management Protocol (SNMP) Get request and Command Line Interface (CLI) (Get request indicates that a Network management station needs to obtain one or more parameter values on a managed device from an SNMP agent)), the following disadvantages exist, so that the management efficiency is increasingly low, and the evolution of user requirements cannot be met: the monitoring data of the equipment is acquired through a pull mode, a large number of network nodes cannot be monitored, and the network growth is limited; the precision is in the minute level, and the precision of the acquired data can be improved only by increasing the query frequency, but the utilization rate of a network node CPU is high, so that the normal function of the equipment is influenced. Due to the existence of network transmission delay, the monitored network node data is not accurate.
Therefore, in the face of the large-scale and high-performance network monitoring requirement, a user needs a new network monitoring mode; the Telemetry technology can meet the requirements of users, supports an intelligent operation and maintenance system to manage more devices, enables monitoring data to have higher precision and more real-time performance, has little influence on the functions and performance of the devices in the monitoring process, provides the most important big data base for quick positioning of network problems and optimization and adjustment of network quality, converts the network quality analysis into big data analysis, and powerfully supports the requirements of intelligent operation and maintenance.
Along with the engineering popularization and application of the Telemetry technology, the efficient and rapid equipment data acquisition is widely favored; however, the traditional telemetrology technology lacks an effective load balancing means, so that the collector cannot respond to the data reported by the device in time, data loss is caused, and the analysis and calculation of an upper system cannot be supported powerfully.
Disclosure of Invention
The invention mainly aims to provide a method, a device, equipment and a storage medium for load balance control of a remote measurement collector, and aims to solve the technical problems that the collector cannot respond to the reported data of the equipment in time, cause data loss and cannot powerfully support the analysis and calculation of an upper system due to the lack of an effective load balance means in a Telemetry technology in the prior art.
In a first aspect, the present invention provides a method for load balancing and controlling a remote sensing collector, where the method for load balancing and controlling a remote sensing collector includes the following steps:
receiving current running state data reported by a current telemetering collector;
judging whether the current telemetering collector is out of limit according to the current running state data;
and when the load of the current telemetering collector is out of limit, migrating the target service executed by the current telemetering collector to a target standby telemetering collector for processing.
Optionally, the determining whether the current telemetry collector is out of limit according to the current operating state data includes:
acquiring the current load pressure value of the current telemetering collector according to the current running state data;
comparing the current load pressure value with a preset pressure threshold value and generating a comparison result;
when the comparison result is that the current load pressure value is greater than or equal to the preset pressure threshold value, judging that the load of the current telemetering collector is out of limit;
and when the comparison result is that the current load pressure value is smaller than the preset pressure threshold value, judging that the current telemetering collector is not loaded beyond the limit.
Optionally, the obtaining a current load pressure value of the current telemetry collector according to the current operating state data includes:
acquiring the current CPU utilization rate, the current disk space utilization rate and the current processing task number of the current telemetering collector from the current running state data;
and calculating to obtain the current load pressure value of the current telemetering collector according to a preset weight proportion, the current CPU utilization rate, the current disk space utilization rate and the current processing task number.
Optionally, before comparing the current load pressure value with a preset pressure threshold and generating a comparison result, the collector load balancing management and control method further includes:
acquiring the sum of pressure values of load pressure values of the telemetering collector in all working states;
obtaining a preset pressure threshold value according to the preset pressure multiple and the average value of the sum of the pressure values through the following formula:
Figure BDA0002553000920000031
wherein y is a preset pressure threshold, k is a preset pressure multiple, n is the total number of the telemetering collectors in all working states, and XnAnd the load pressure value of the telemetering collector in the nth working state is obtained.
Optionally, the migrating the target service executed by the current telemetry collector to a target standby telemetry collector for processing when the load of the current telemetry collector is out of limit includes:
When the load of the current telemetry collector exceeds the limit, taking the service corresponding to the part of the pressure value exceeding the preset pressure threshold value, of the current load pressure value, as a target service;
judging whether a remote sensing collector in an idle state exists in the standby remote sensing collectors;
when the spare telemetering collector has an idle telemetering collector, taking the idle telemetering collector as a target spare telemetering collector;
when the remote measuring collector in an idle state does not exist in the standby remote measuring collectors, the standby remote measuring collector with the minimum load pressure is used as a target standby remote measuring collector;
and distributing the target service to the target standby remote measuring collector for processing according to a preset distribution proportion, and distributing the rest service to other standby remote measuring collectors for processing.
Optionally, before receiving the current running state data reported by the current telemetry collector, the collector load balancing management and control method further includes:
receiving heartbeat signal data reported by a current telemetering collector;
determining a link connection state with the current telemetering collector according to the heartbeat signal data;
when the link connection state is a connection state, executing a step of receiving current running state data reported by a current telemetering collector;
And when the link connection state is a disconnection state, the step of receiving the current running state data reported by the current telemetering collector is not executed.
Optionally, before receiving the heartbeat signal data reported by the current telemetry collector, the collector load balancing management and control method further includes:
acquiring the collector basic information of a main telemetering collector and a standby telemetering collector from a preset database;
sending authentication data and the collector basic information to the main telemetering collector and the standby telemetering collector;
and when the verification passing information fed back by the main telemetering collector and the standby telemetering collector is received, executing the step of receiving heartbeat signal data reported by the current telemetering collector.
In a second aspect, the present invention further provides a remote sensing collector load balancing control device, where the remote sensing collector load balancing control device includes:
the data acquisition module is used for receiving the current running state data reported by the current telemetering collector;
the judging module is used for judging whether the current telemetering collector is out of limit or not according to the current running state data;
and the control module is used for migrating the target service executed by the current telemetering collector to a target standby telemetering collector for processing when the load of the current telemetering collector exceeds the limit.
In a third aspect, the present invention further provides a remote sensing collector load balancing control device, where the remote sensing collector load balancing control device includes: a memory, a processor, and a telemetry collector load balancing management program stored on the memory and executable on the processor, the telemetry collector load balancing management program configured to implement the steps of the telemetry collector load balancing management method as recited in the claims above.
In a fourth aspect, the present invention further provides a storage medium, where a telemetry collector load balancing control program is stored on the storage medium, and when executed by a processor, the telemetry collector load balancing control program implements the steps of the telemetry collector load balancing control method described above.
The load balancing control method of the remote measuring collector provided by the invention receives the current running state data reported by the current remote measuring collector; judging whether the current telemetering collector is out of limit according to the current running state data; when the load of the current telemetering collector exceeds the limit, transferring the target service executed by the current telemetering collector to a target standby telemetering collector for processing; the acquisition targets can be quickly switched among different remote measurement acquisition units, pressure balance is realized, resources can be saved, the working efficiency of the acquisition units is improved, various items of data of the acquisition equipment can be quickly and stably acquired, the reported data of the equipment can be responded timely, the data safety is maintained, the analysis and calculation of an upper-layer system are powerfully supported, and the most important big data basis is provided for quick positioning of network problems and optimization and adjustment of network quality.
Drawings
FIG. 1 is a schematic diagram of an apparatus architecture of a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a first embodiment of a load balancing control method for a telemetry collector according to the present invention;
fig. 3 is a flowchart illustrating a second embodiment of a load balancing control method for a telemetry collector according to the present invention;
fig. 4 is a schematic flow chart of a third embodiment of a load balancing control method for a telemetry collector in the present invention;
fig. 5 is a schematic flow chart of a fourth embodiment of a load balancing control method for a telemetry collector in the present invention;
fig. 6 is a schematic flow chart of a fifth embodiment of a load balancing control method for a telemetry collector in the present invention;
fig. 7 is a schematic flowchart of a sixth embodiment of a load balancing control method for a telemetry collector according to the present invention;
fig. 8 is a functional block diagram of a first embodiment of a load balancing and controlling apparatus for a telemetry collector according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The solution of the embodiment of the invention is mainly as follows: the method comprises the steps of receiving current running state data reported by a current telemetering collector; judging whether the current telemetering collector is out of limit according to the current running state data; when the load of the current telemetering collector exceeds the limit, transferring the target service executed by the current telemetering collector to a target standby telemetering collector for processing; the acquisition target can be quickly switched among different remote measurement collectors, pressure balance is realized, resources can be saved, the working efficiency of the collectors is improved, various items of data of acquisition equipment which is quick and stable are realized, equipment reported data can be responded timely, data safety is maintained, analysis and calculation of an upper system are powerfully supported, the most important big data base is provided for quick positioning of network problems and optimization and adjustment of network quality, and the technical problems that a Telemetry technology in the prior art lacks effective load balancing means, the collectors cannot respond to the equipment reported data timely, data loss is caused, and analysis and calculation of the upper system cannot be powerfully supported are solved.
Referring to fig. 1, fig. 1 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the apparatus may include: a processor 1001, such as a CPU, a communication bus 1002, a user side interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., a Wi-Fi interface). The Memory 1005 may be a high-speed RAM Memory or a Non-Volatile Memory (Non-Volatile Memory), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration of the apparatus shown in fig. 1 is not intended to be limiting of the apparatus and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005 as a storage medium may include an operating device, a network communication module, a client interface module, and a telemetry collector load balancing management program.
The device calls a load balancing management and control program of the telemetering collector stored in a memory 1005 through a processor 1001 and executes the following operations:
receiving current running state data reported by a current telemetering collector;
judging whether the current telemetering collector is out of limit according to the current running state data;
and when the load of the current telemetering collector is out of limit, migrating the target service executed by the current telemetering collector to a target standby telemetering collector for processing.
Further, processor 1001 may invoke a telemetry collector load balancing hypervisor stored in memory 1005, and also perform the following operations:
acquiring the current load pressure value of the current telemetering collector according to the current running state data;
comparing the current load pressure value with a preset pressure threshold value and generating a comparison result;
when the comparison result is that the current load pressure value is greater than or equal to the preset pressure threshold value, judging that the load of the current telemetering collector is out of limit;
and when the comparison result is that the current load pressure value is smaller than the preset pressure threshold value, judging that the current telemetering collector is not loaded beyond the limit.
Further, processor 1001 may invoke a telemetry collector load balancing hypervisor stored in memory 1005, and also perform the following operations:
acquiring the current CPU utilization rate, the current disk space utilization rate and the current processing task number of the current telemetering collector from the current running state data;
and calculating to obtain the current load pressure value of the current telemetering collector according to a preset weight proportion, the current CPU utilization rate, the current disk space utilization rate and the current processing task number.
Further, processor 1001 may invoke a telemetry collector load balancing hypervisor stored in memory 1005, and also perform the following operations:
acquiring the sum of pressure values of load pressure values of the telemetering collector in all working states;
obtaining a preset pressure threshold value according to the preset pressure multiple and the average value of the sum of the pressure values through the following formula:
Figure BDA0002553000920000071
wherein y is a preset pressure threshold, k is a preset pressure multiple, n is the total number of the telemetering collectors in all working states, and XnAnd the load pressure value of the telemetering collector in the nth working state is obtained.
Further, processor 1001 may invoke a telemetry collector load balancing hypervisor stored in memory 1005, and also perform the following operations:
When the load of the current telemetry collector exceeds the limit, taking the service corresponding to the part of the pressure value exceeding the preset pressure threshold value, of the current load pressure value, as a target service;
judging whether a remote sensing collector in an idle state exists in the standby remote sensing collectors;
when the spare telemetering collector has an idle telemetering collector, taking the idle telemetering collector as a target spare telemetering collector;
when the remote measuring collector in an idle state does not exist in the standby remote measuring collectors, the standby remote measuring collector with the minimum load pressure is used as a target standby remote measuring collector;
and distributing the target service to the target standby remote measuring collector for processing according to a preset distribution proportion, and distributing the rest service to other standby remote measuring collectors for processing.
Further, processor 1001 may invoke a telemetry collector load balancing hypervisor stored in memory 1005, and also perform the following operations:
receiving heartbeat signal data reported by a current telemetering collector;
determining a link connection state with the current telemetering collector according to the heartbeat signal data;
when the link connection state is a connection state, executing a step of receiving current running state data reported by a current telemetering collector;
And when the link connection state is a disconnection state, the step of receiving the current running state data reported by the current telemetering collector is not executed.
Further, processor 1001 may invoke a telemetry collector load balancing hypervisor stored in memory 1005, and also perform the following operations:
acquiring the collector basic information of a main telemetering collector and a standby telemetering collector from a preset database;
sending authentication data and the collector basic information to the main telemetering collector and the standby telemetering collector;
and when the verification passing information fed back by the main telemetering collector and the standby telemetering collector is received, executing the step of receiving heartbeat signal data reported by the current telemetering collector.
According to the scheme, the current running state data reported by the current telemetering collector is received; judging whether the current telemetering collector is out of limit according to the current running state data; when the load of the current telemetering collector exceeds the limit, transferring the target service executed by the current telemetering collector to a target standby telemetering collector for processing; the acquisition targets can be quickly switched among different remote measurement acquisition units, pressure balance is realized, resources can be saved, the working efficiency of the acquisition units is improved, various items of data of the acquisition equipment can be quickly and stably acquired, the reported data of the equipment can be responded timely, the data safety is maintained, the analysis and calculation of an upper-layer system are powerfully supported, and the most important big data basis is provided for quick positioning of network problems and optimization and adjustment of network quality.
Based on the hardware structure, the embodiment of the load balancing control method of the telemetering collector is provided.
Referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of a load balancing control method for a telemetry collector according to the present invention.
In a first embodiment, the method for load balancing and controlling of a telemetry collector includes the following steps:
and step S10, receiving the current running state data reported by the current telemetering collector.
It should be noted that the remote control collector may feed back the operation state to the collector monitoring unit in real time, that is, may feed back the current operation state data to the load balancing management and control device of the remote control collector in real time, where the real-time current operation state data may be CPU operation state data, may also be disk read-write operation state data, may also be task operation state data, and certainly may also be other types of operation state data, and this embodiment does not limit this; the CPU running state data mainly corresponds to a CPU utilization rate, the disk read-write running state data mainly corresponds to a disk space utilization rate, the task running state data mainly corresponds to a processing task number, the CPU running state data may also correspond to a CPU clock frequency, a CPU reference frequency, a CPU cache size, and the like, the disk read-write running state data may also correspond to a disk rotation speed, a disk average access time, a disk transmission rate, a disk cache, and the like, the task running state data may also correspond to a task deployment state, a task test running state, and the like, which is not limited in this embodiment.
And step S20, judging whether the current telemetering collector is out of limit according to the current running state data.
It should be appreciated that by comparing the current operational status data to a preset status data threshold, it can be determined whether the current telemetry collector is out of load, i.e., whether the current telemetry collector is under excessive load pressure.
And step S30, when the load of the current telemetering collector is out of limit, migrating the target service executed by the current telemetering collector to a target standby telemetering collector for processing.
It can be understood that the target task, that is, the task that the current telemetry collector is executing or preparing to execute, is migrated to the selected standby telemetry collector for processing, that is, the target standby telemetry collector for processing, when the load of the current telemetry collector is out of limit, that is, the load pressure of the current telemetry collector is too high, so that the traffic can be migrated from the relatively busy telemetry collector to the relatively idle telemetry collector, load pressure balance is realized, and the work efficiency of the telemetry collector is improved.
In a specific implementation, the current telemetry collector is a master telemetry collector, the number of the master telemetry collector and the number of the standby telemetry collector may be single or multiple, and the number of the master telemetry collector and the number of the standby telemetry collector may be configured according to an actual task amount to be processed or a user requirement through a configuration file, which is not limited in this embodiment.
According to the scheme, the current running state data reported by the current telemetering collector is received; judging whether the current telemetering collector is out of limit according to the current running state data; when the load of the current telemetering collector exceeds the limit, transferring the target service executed by the current telemetering collector to a target standby telemetering collector for processing; the acquisition targets can be quickly switched among different remote measurement acquisition units, pressure balance is realized, resources can be saved, the working efficiency of the acquisition units is improved, various items of data of the acquisition equipment can be quickly and stably acquired, the reported data of the equipment can be responded timely, the data safety is maintained, the analysis and calculation of an upper-layer system are powerfully supported, and the most important big data basis is provided for quick positioning of network problems and optimization and adjustment of network quality.
Further, fig. 3 is a flowchart illustrating a second embodiment of the load balancing control method for a telemetry collector of the present invention, and as shown in fig. 3, the second embodiment of the load balancing control method for a telemetry collector of the present invention is proposed based on the first embodiment, and in this embodiment, the step S20 specifically includes the following steps:
and step S21, acquiring the current load pressure value of the current telemetering collector according to the current running state data.
It should be noted that, by analyzing and calculating the current operating state data, the current load pressure value of the current telemetry collector, that is, the value corresponding to the load pressure of the current telemetry collector, may be obtained.
And step S22, comparing the current load pressure value with a preset pressure threshold value, and generating a comparison result.
It can be understood that the preset pressure threshold is a preset load pressure threshold used for being compared with a load pressure value, and a comparison result can be generated by comparing the current load pressure value with the preset pressure threshold, so as to judge whether the current telemetry collector is out of limit.
Further, before step S22, the method for load balancing and controlling of telemetry collectors further includes the following steps:
and acquiring the pressure value sum of the load pressure values of the telemetering collector in all working states.
It should be noted that, in general, there are more than one telemetry collector that is performing data acquisition, and by obtaining the load pressure values of the telemetry collectors in all operating states and calculating the sum of the pressure values of the telemetry collectors in all operating states, preparation can be made for subsequent overall load balancing.
Obtaining a preset pressure threshold value according to the preset pressure multiple and the average value of the sum of the pressure values through the following formula:
Figure BDA0002553000920000111
wherein y is a preset pressure threshold, k is a preset pressure multiple, n is the total number of the telemetering collectors in all working states, and XnAnd the load pressure value of the telemetering collector in the nth working state is obtained.
It should be understood that the preset pressure multiple is a preset pressure multiple, and in actual operation, the preset pressure multiple may be 1.5, and of course, other values may also be used, which is not limited in this embodiment; taking 1.5 times as an example, when the load pressure value of the current telemetering collector is greater than or equal to 1.5 times of the average value of the sum of the pressure values of the telemetering collectors in all working states, the load of the current telemetering collector is judged to be out of limit, and when the load pressure value of the current telemetering collector is less than 1.5 times of the average value of the sum of the pressure values of the telemetering collectors in all working states, the load of the current telemetering collector is judged to be out of limit.
And step S23, when the comparison result is that the current load pressure value is greater than or equal to the preset pressure threshold value, judging that the current telemetry collector load is out of limit.
It should be understood that when the current load pressure value is greater than or equal to the preset pressure threshold value, it may indicate that the current load pressure is too large, and it is determined that the load of the current telemetry collector is out of limit, and a load balancing operation needs to be performed in time.
And step S24, when the comparison result is that the current load pressure value is smaller than the preset pressure threshold value, judging that the current telemetering collector is not loaded beyond the limit.
It can be understood that when the current load pressure value is smaller than the preset pressure threshold, it may be indicated that the current load pressure is not large at this time, and the service acquisition operation may be further performed, and it is determined that the current telemetry collector is not loaded beyond the limit at this time.
According to the scheme, the current load pressure value of the current telemetering collector is obtained according to the current running state data; comparing the current load pressure value with a preset pressure threshold value and generating a comparison result; when the comparison result is that the current load pressure value is greater than or equal to the preset pressure threshold value, judging that the load of the current telemetering collector is out of limit; when the comparison result shows that the current load pressure value is smaller than the preset pressure threshold value, the current telemetering collector is judged to be not out of load, the load state of the current telemetering collector can be accurately judged, whether the load is out of limit or not is determined, load balancing response is further rapidly carried out, the working efficiency of the collector is improved, various items of data of equipment are rapidly and stably collected, and the most important big data basis is provided for rapid positioning of network problems and optimization and adjustment of network quality.
Further, fig. 4 is a schematic flow chart of a third embodiment of the load balancing control method for a telemetry collector of the present invention, and as shown in fig. 4, the third embodiment of the load balancing control method for a telemetry collector of the present invention is proposed based on the second embodiment, and in this embodiment, the step S21 specifically includes the following steps:
and S211, acquiring the current CPU utilization rate, the current disk space utilization rate and the current processing task number of the current telemetry collector from the current running state data.
It should be noted that the current running state data corresponds to a current CPU utilization rate, a current disk space utilization rate and a current processing task number, the current CPU utilization rate is a ratio of time during which the CPU at the current time of the current telemetry collector does not execute idle threads in a statistical period, the current disk space utilization rate is a ratio of disk used space at the current time of the current telemetry collector in a total space, and the current processing task number is a total number of tasks of the tasks currently being processed.
And S212, calculating and obtaining the current load pressure value of the current telemetering collector according to a preset weight proportion, the current CPU utilization rate, the current disk space utilization rate and the current processing task number.
It can be understood that the preset weight proportion is a preset weight coefficient proportion, and the preset weight proportion may be a dynamic proportion adjusted in real time according to an actual situation, a preset default proportion, or a weight coefficient proportion adjusted correspondingly according to a user adjustment parameter, which is not limited in this embodiment; obtaining a CPU weight coefficient corresponding to the current CPU utilization rate from the preset weight proportion, obtaining a disk weight coefficient corresponding to the current disk space utilization rate, obtaining a task weight coefficient corresponding to the processing task number, and composing the sum of the products of the current CPU utilization rate and the CPU weight coefficient, the current disk space utilization rate and the disk weight coefficient, and the processing task number and the task weight coefficient to the current load pressure value of the current telemetry collector.
According to the scheme, the current CPU utilization rate, the current disk space utilization rate and the current processing task number of the current telemetering collector are obtained from the current running state data; the current load pressure value of the current telemetering collector is obtained through calculation according to a preset weight proportion, the current CPU utilization rate, the current disk space utilization rate and the current processing task number, the current load pressure value of the current telemetering collector can be accurately obtained, the load pressure values determined from multiple dimensions can indicate the current running state of the current telemetering collector, the load state of the current telemetering collector is accurately judged, whether the load is out of limit or not is determined, load balancing response is rapidly carried out, and the working efficiency of the collector is improved.
Further, fig. 5 is a schematic flowchart of a fourth embodiment of the load balancing control method for a telemetry collector of the present invention, and as shown in fig. 5, the fourth embodiment of the load balancing control method for a telemetry collector of the present invention is proposed based on the third embodiment, and in this embodiment, the step S30 specifically includes the following steps:
and step S31, when the load of the current telemetering collector is out of limit, taking the service corresponding to the exceeding partial pressure value of the current load pressure value exceeding the preset pressure threshold value as a target service.
It should be noted that when the load of the current telemetry collector is out of limit, it indicates that the number of services of the current telemetry collector is greater than the limit of the number of services that can be processed by the current telemetry collector, that is, the current telemetry collector is processing the current services at full load, but some services are in the process of waiting for processing, and at this time, the part of services waiting for processing needs to be screened out and allocated to other relatively idle telemetry collectors for processing, so as to implement load balancing.
It can be understood that, by comparing the current load pressure value with the preset pressure threshold, an exceeded partial pressure value can be determined, where the service that is not being processed and corresponds to the service quantity is used as a target service, and of course, the service that obviously exceeds the load pressure of the current telemetry collector and corresponds to the service quantity and corresponds to the exceeded partial pressure value may be used as a target task and transferred to the telemetry collector with a higher processing capability for processing, which is not limited in this embodiment.
In a specific implementation, when the load of the current telemetry collector is exceeded, the reported data, i.e., services, which need to be migrated may be evaluated first, then a control instruction is sent to other spare telemetry collectors which are relatively idle to start the reporting channels of the relevant devices, and after the control instruction is successful, the current telemetry collector with the higher pressure is controlled to stop the reporting channels of the relevant devices, that is, the current telemetry collector may adjust its own data collection thread number and data analysis thread number according to the operating parameters, and only receives device data whose reported data source Internet Protocol (IP) is within the range of a collected target IP, that is, processes the relevant services whose load pressure is not exceeded.
And step S32, judging whether the spare telemetering collector has an idle telemetering collector.
It should be understood that, in the standby telemetry collector, there may be a telemetry collector in a completely idle state, that is, there is no service to be processed by some standby telemetry collectors, and at this time, the telemetry collector in the idle state can be used as a basis for determining subsequent service allocation by judging whether there is a telemetry collector in the idle state, that is, a basis for determining which allocation policy to implement.
And step S33, when the spare telemetering collector has an idle telemetering collector, taking the idle spare telemetering collector as a target spare telemetering collector.
It can be understood that when an idle-state telemetry collector exists in the standby telemetry collectors, the idle-state standby telemetry collector may be used as a target standby telemetry collector, and if there are multiple idle-state standby telemetry collectors, the multiple idle-state standby telemetry collectors may all be used as target standby telemetry collectors.
And step S34, when the remote measuring collector in an idle state does not exist in the standby remote measuring collectors, taking the standby remote measuring collector with the minimum load pressure as a target standby remote measuring collector.
It should be understood that when no idle telemetry collector exists in the standby telemetry collectors, the standby telemetry collector with the smallest load pressure may be selected from all the standby telemetry collectors as the target standby telemetry collector, and of course, when the service is excessive, a plurality of target standby telemetry collectors may also be provided, that is, the standby telemetry collectors with the smallest load pressure are sequentially selected from the small load pressure to the large load pressure as the target standby telemetry collectors.
And step S35, distributing the target service to the target standby telemetry collector for processing according to a preset distribution proportion, and distributing the rest service to other standby telemetry collectors for processing.
It should be noted that, after the target standby telemetry collector is determined, the target services may be distributed according to a preset distribution ratio, where the preset distribution ratio is a preset service distribution ratio, and may be uniformly distributed to each target standby collector, if there are remaining services, the remaining services are distributed to other standby telemetry collectors for processing, and if there are no remaining services, the remaining services are directly processed by the target standby telemetry collector; different service distribution proportions can be determined according to the current task quantity of different target standby telemetry collectors, different services are further distributed and obtained for continuous processing, corresponding target services can be determined according to random distribution proportions, and service distribution can be performed in other manners, which is not limited in the embodiment; if the target service is allocated to the target standby telemetry collector for processing, and there are remaining services, the remaining services are allocated to other standby telemetry collectors for processing, and the allocation manner may be uniform allocation, random allocation, allocation according to a preset allocation ratio, or allocation by other manners, which is not limited in this embodiment.
In a specific implementation, when no collector monitoring unit is configured in the device telemetry reporting group configuration, that is, when the telemetry collector load balancing control device needs to migrate the IP of the standby telemetry collector that reports data, the telemetry collector load balancing control device may modify the device telemetry reporting group configuration through a third-party interface, thereby implementing the switching of the telemetry collectors.
According to the scheme, when the load of the current telemetering collector exceeds the limit, the service corresponding to the part of the pressure value exceeding the preset pressure threshold value, where the current load pressure value exceeds the preset pressure threshold value, is used as the target service; judging whether a remote sensing collector in an idle state exists in the standby remote sensing collectors; when the spare telemetering collector has an idle telemetering collector, taking the idle telemetering collector as a target spare telemetering collector; when the remote measuring collector in an idle state does not exist in the standby remote measuring collectors, the standby remote measuring collector with the minimum load pressure is used as a target standby remote measuring collector; the target business is distributed to the target standby remote measuring collector for processing according to the preset distribution proportion, the rest business is distributed to other standby remote measuring collectors for processing, the collected target can be quickly switched among different remote measuring collectors, pressure balance is realized, resources can be saved, the working efficiency of the collector is improved, various items of data of the collecting equipment are quickly and stably collected, the reported data of the equipment can be responded timely, data safety is maintained, analysis and calculation of an upper-layer system are powerfully supported, and the most important big data basis is provided for quick positioning of network problems and optimization and adjustment of network quality.
Further, fig. 6 is a flowchart of a fifth embodiment of the load balancing control method for a telemetry collector of the present invention, and as shown in fig. 6, the fifth embodiment of the load balancing control method for a telemetry collector of the present invention is proposed based on the first embodiment, and in this embodiment, before the step S10, the load balancing control method for a telemetry collector further includes the following steps:
and step S01, receiving heartbeat signal data reported by the current telemetering collector.
It should be noted that the heartbeat signal data is signal data corresponding to a heartbeat packet between the current telemetering collector and the collector monitoring unit, that is, between the telemetering collector load balancing control device, in actual operation, the current telemetering collector starts a heartbeat timer, and the heartbeat signal data is sent to the collector monitoring unit, that is, to the telemetering collector load balancing control device, at regular time through a data port.
And step S02, determining the link connection state with the current telemetering collector according to the heartbeat signal data.
It can be understood that, the current telemetry collector sends small data packets to the telemetry collector load balancing control device at intervals, and the telemetry collector load balancing control device replies corresponding messages to generate heartbeat signal data; the heartbeat signal data reflects whether a communication link between the load balancing control equipment of the remote measuring collector and the current remote measuring collector is disconnected or not, namely, the link connection state of the load balancing control equipment of the collector and the current remote measuring collector, namely the connection state of the communication link, can be determined according to the heartbeat signal data.
And step S03, when the link connection state is a connection state, executing the step of receiving the current running state data reported by the current telemetering collector.
It should be understood that when the link connection state is a connected state, that is, it indicates that the communication link between the load balancing management and control device of the telemetry collector and the current telemetry collector is connected, the current running state data reported by the current telemetry collector may be received at this time.
And step S04, when the link connection state is the disconnection state, the step of receiving the current running state data reported by the current telemetering collector is not executed.
It can be understood that, when the link connection state is a disconnection state, it indicates that the communication link between the load balancing control device of the telemetry collector and the current telemetry collector is disconnected, and at this time, the step of receiving the current running state data reported by the current telemetry collector is not performed, that is, no subsequent processing is performed.
According to the scheme, the heartbeat signal data reported by the current telemetering collector is received; determining a link connection state with the current telemetering collector according to the heartbeat signal data; when the link connection state is a connection state, executing a step of receiving current running state data reported by a current telemetering collector; when the link connection state is the disconnection state, the step of receiving the current running state data reported by the current telemetering collector is not executed, load balancing management and control can be performed in the link connection state, the effectiveness of the load balancing management and control is guaranteed, then the collection targets are quickly switched among different telemetering collectors, pressure balance is achieved, resources can be saved, the working efficiency of the collectors is improved, and all data of the collection equipment are quickly and stably collected.
Further, fig. 7 is a flowchart illustrating a sixth embodiment of the load balancing control method for a telemetry collector of the present invention, and as shown in fig. 7, the sixth embodiment of the load balancing control method for a telemetry collector of the present invention is proposed based on the fifth embodiment, where in this embodiment, before the step S01, the load balancing control method for a telemetry collector further includes the following steps:
and S001, acquiring the collector basic information of the main telemetering collector and the standby telemetering collector from a preset database.
It should be noted that the preset database stores the collector basic information of each collector, where the collector basic information includes but is not limited to: the local configuration file loads an IP, a data port, a control port, a collection target IP, a working mode, an operation parameter and the like.
In a specific implementation, m + n Telemetry remote-measuring collectors can be constructed to collect equipment data, wherein n is a standby remote-measuring collector, and m is the number of active remote-measuring collectors in an activated state; the specific values of m and n can be configured through a configuration file; the method comprises the steps that the basic information of the main telemetering collector and the basic information of the standby telemetering collector are reported to telemetering collector load balancing control equipment, the telemetering collector load balancing control equipment stores the basic information of the collectors in a preset database, the telemetering collector load balancing control equipment receives state reporting information of all telemetering collectors through monitoring ports, and when the telemetering collectors change, the telemetering collector load balancing control equipment can update relevant state data to the preset database in real time.
And S002, sending authentication data and the collector basic information to the main telemetering collector and the standby telemetering collector.
It can be understood that the authentication data is an acquirer monitoring unit, that is, the telemetering acquirer load balancing control device authenticates its own authentication information, and by sending the authentication data and the acquirer basic information to the main telemetering acquirer and the standby telemetering acquirer, the main telemetering acquirer and the standby telemetering acquirer can authenticate the identity validity of the telemetering acquirer load balancing control device, thereby determining whether to receive a related control instruction of the telemetering acquirer load balancing control device.
And S003, when the verification passing information fed back by the main telemetering collector and the standby telemetering collector is received, executing the step of receiving the heartbeat signal data reported by the current telemetering collector.
It should be understood that, when verification passing information fed back by the master telemetry collector and the backup telemetry collector is received, that is, the master telemetry collector and the backup telemetry collector pass verification of authentication information, and receive a related control command of the telemetry collector load balancing control device, generally, the current telemetry collector loads a working mode and an operating parameter synchronously sent by the telemetry collector load balancing control device, starts a heartbeat timer, and sends heartbeat data and an operating state to the telemetry collector load balancing control device at regular time.
According to the scheme, the collector basic information of the main telemetering collector and the standby telemetering collector is acquired from the preset database; sending authentication data and the collector basic information to the main telemetering collector and the standby telemetering collector; when receiving the verification passing information fed back by the main telemetering collector and the standby telemetering collector, executing the step of receiving heartbeat signal data reported by the current telemetering collector; the safety and effectiveness of the load balancing control of the remote measurement collector can be guaranteed, load balancing response is rapidly carried out, the working efficiency of the collector is improved, various items of data of the collection equipment are rapidly and stably collected, and the most important big data basis is provided for rapid positioning of network problems and optimization and adjustment of network quality.
Correspondingly, the invention further provides a load balancing control device of the remote measuring collector.
Referring to fig. 8, fig. 8 is a functional block diagram of a first embodiment of a load balancing and controlling apparatus for a telemetry collector according to the present invention.
In a first embodiment of the remote sensing collector load balancing control device of the present invention, the remote sensing collector load balancing control device includes:
And the data acquisition module 10 is configured to receive current running state data reported by a current telemetry collector.
And the judging module 20 is configured to judge whether the load of the current telemetry collector is out of limit according to the current running state data.
And the management and control module 30 is configured to migrate the target service executed by the current telemetry collector to a target standby telemetry collector for processing when the load of the current telemetry collector is out of limit.
The steps implemented by each functional module of the remote sensing collector load balancing control device may refer to each embodiment of the remote sensing collector load balancing control method of the present invention, and are not described herein again.
In addition, an embodiment of the present invention further provides a storage medium, where the storage medium may be a computer-readable non-volatile storage medium, and certainly may also be other types of storage media, which is not limited in this embodiment; the storage medium stores a remote measuring collector load balancing control program, and when the remote measuring collector load balancing control program is executed by a processor, the remote measuring collector load balancing control program realizes the following operations:
receiving current running state data reported by a current telemetering collector;
judging whether the current telemetering collector is out of limit according to the current running state data;
And when the load of the current telemetering collector is out of limit, migrating the target service executed by the current telemetering collector to a target standby telemetering collector for processing.
Further, when executed by the processor, the telemetry collector load balancing management and control program further implements the following operations:
acquiring the current load pressure value of the current telemetering collector according to the current running state data;
comparing the current load pressure value with a preset pressure threshold value and generating a comparison result;
when the comparison result is that the current load pressure value is greater than or equal to the preset pressure threshold value, judging that the load of the current telemetering collector is out of limit;
and when the comparison result is that the current load pressure value is smaller than the preset pressure threshold value, judging that the current telemetering collector is not loaded beyond the limit.
Further, when executed by the processor, the telemetry collector load balancing management and control program further implements the following operations:
acquiring the current CPU utilization rate, the current disk space utilization rate and the current processing task number of the current telemetering collector from the current running state data;
and calculating to obtain the current load pressure value of the current telemetering collector according to a preset weight proportion, the current CPU utilization rate, the current disk space utilization rate and the current processing task number.
Further, when executed by the processor, the telemetry collector load balancing management and control program further implements the following operations:
acquiring the sum of pressure values of load pressure values of the telemetering collector in all working states;
obtaining a preset pressure threshold value according to the preset pressure multiple and the average value of the sum of the pressure values through the following formula:
Figure BDA0002553000920000191
wherein y is a preset pressure threshold, k is a preset pressure multiple, n is the total number of the telemetering collectors in all working states, and XnAnd the load pressure value of the telemetering collector in the nth working state is obtained.
Further, when executed by the processor, the telemetry collector load balancing management and control program further implements the following operations:
when the load of the current telemetry collector exceeds the limit, taking the service corresponding to the part of the pressure value exceeding the preset pressure threshold value, of the current load pressure value, as a target service;
judging whether a remote sensing collector in an idle state exists in the standby remote sensing collectors;
when the spare telemetering collector has an idle telemetering collector, taking the idle telemetering collector as a target spare telemetering collector;
when the remote measuring collector in an idle state does not exist in the standby remote measuring collectors, the standby remote measuring collector with the minimum load pressure is used as a target standby remote measuring collector;
And distributing the target service to the target standby remote measuring collector for processing according to a preset distribution proportion, and distributing the rest service to other standby remote measuring collectors for processing.
Further, when executed by the processor, the telemetry collector load balancing management and control program further implements the following operations:
receiving heartbeat signal data reported by a current telemetering collector;
determining a link connection state with the current telemetering collector according to the heartbeat signal data;
when the link connection state is a connection state, executing a step of receiving current running state data reported by a current telemetering collector;
and when the link connection state is a disconnection state, the step of receiving the current running state data reported by the current telemetering collector is not executed.
Further, when executed by the processor, the telemetry collector load balancing management and control program further implements the following operations:
acquiring the collector basic information of a main telemetering collector and a standby telemetering collector from a preset database;
sending authentication data and the collector basic information to the main telemetering collector and the standby telemetering collector;
and when the verification passing information fed back by the main telemetering collector and the standby telemetering collector is received, executing the step of receiving heartbeat signal data reported by the current telemetering collector.
According to the scheme, the current running state data reported by the current telemetering collector is received; judging whether the current telemetering collector is out of limit according to the current running state data; when the load of the current telemetering collector exceeds the limit, transferring the target service executed by the current telemetering collector to a target standby telemetering collector for processing; the acquisition targets can be quickly switched among different remote measurement acquisition units, pressure balance is realized, resources can be saved, the working efficiency of the acquisition units is improved, various items of data of the acquisition equipment can be quickly and stably acquired, the reported data of the equipment can be responded timely, the data safety is maintained, the analysis and calculation of an upper-layer system are powerfully supported, and the most important big data basis is provided for quick positioning of network problems and optimization and adjustment of network quality.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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 system. 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 system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A method for controlling load balancing of a remote measuring collector is characterized by comprising the following steps:
receiving current running state data reported by a current telemetering collector;
judging whether the current telemetering collector is out of limit according to the current running state data;
and when the load of the current telemetering collector is out of limit, migrating the target service executed by the current telemetering collector to a target standby telemetering collector for processing.
2. The collector load balancing management and control method according to claim 1, wherein the determining whether the current telemetry collector is out of load according to the current operating state data includes:
acquiring the current load pressure value of the current telemetering collector according to the current running state data;
Comparing the current load pressure value with a preset pressure threshold value and generating a comparison result;
when the comparison result is that the current load pressure value is greater than or equal to the preset pressure threshold value, judging that the load of the current telemetering collector is out of limit;
and when the comparison result is that the current load pressure value is smaller than the preset pressure threshold value, judging that the current telemetering collector is not loaded beyond the limit.
3. The collector load balancing management and control method according to claim 2, wherein the obtaining of the current load pressure value of the current telemetry collector according to the current operating state data includes:
acquiring the current CPU utilization rate, the current disk space utilization rate and the current processing task number of the current telemetering collector from the current running state data;
and calculating to obtain the current load pressure value of the current telemetering collector according to a preset weight proportion, the current CPU utilization rate, the current disk space utilization rate and the current processing task number.
4. The collector load balancing management and control method according to claim 2, wherein before comparing the current load pressure value with a preset pressure threshold and generating a comparison result, the collector load balancing management and control method further includes:
Acquiring the sum of pressure values of load pressure values of the telemetering collector in all working states;
obtaining a preset pressure threshold value according to the preset pressure multiple and the average value of the sum of the pressure values through the following formula:
Figure FDA0002553000910000021
wherein y is a preset pressure threshold, k is a preset pressure multiple, n is the total number of the telemetering collectors in all working states, and XnAnd the load pressure value of the telemetering collector in the nth working state is obtained.
5. The collector load balancing management and control method according to claim 4, wherein when the load of the current telemetry collector is out of limit, migrating the target service executed by the current telemetry collector to a target standby telemetry collector for processing, includes:
when the load of the current telemetry collector exceeds the limit, taking the service corresponding to the part of the pressure value exceeding the preset pressure threshold value, of the current load pressure value, as a target service;
judging whether a remote sensing collector in an idle state exists in the standby remote sensing collectors;
when the spare telemetering collector has an idle telemetering collector, taking the idle telemetering collector as a target spare telemetering collector;
when the remote measuring collector in an idle state does not exist in the standby remote measuring collectors, the standby remote measuring collector with the minimum load pressure is used as a target standby remote measuring collector;
And distributing the target service to the target standby remote measuring collector for processing according to a preset distribution proportion, and distributing the rest service to other standby remote measuring collectors for processing.
6. The collector load balancing control method according to any one of claims 1 to 5, wherein before receiving the current running state data reported by the current telemetry collector, the collector load balancing control method further includes:
receiving heartbeat signal data reported by a current telemetering collector;
determining a link connection state with the current telemetering collector according to the heartbeat signal data;
when the link connection state is a connection state, executing a step of receiving current running state data reported by a current telemetering collector;
and when the link connection state is a disconnection state, the step of receiving the current running state data reported by the current telemetering collector is not executed.
7. The collector load balancing control method according to claim 6, wherein before receiving the heartbeat signal data reported by the current telemetry collector, the collector load balancing control method further comprises:
acquiring the collector basic information of a main telemetering collector and a standby telemetering collector from a preset database;
Sending authentication data and the collector basic information to the main telemetering collector and the standby telemetering collector;
and when the verification passing information fed back by the main telemetering collector and the standby telemetering collector is received, executing the step of receiving heartbeat signal data reported by the current telemetering collector.
8. The utility model provides a collector load balancing management and control device which characterized in that, collector load balancing management and control device includes:
the data acquisition module is used for receiving the current running state data reported by the current telemetering collector;
the judging module is used for judging whether the current telemetering collector is out of limit or not according to the current running state data;
and the control module is used for migrating the target service executed by the current telemetering collector to a target standby telemetering collector for processing when the load of the current telemetering collector exceeds the limit.
9. The utility model provides a collector load balancing management and control equipment which characterized in that, collector load balancing management and control equipment includes: the system comprises a memory, a processor and a collector load balancing management and control program which is stored on the memory and can run on the processor, wherein the collector load balancing management and control program is configured to realize the steps of the collector load balancing management and control method according to any one of claims 1 to 7.
10. A storage medium, wherein a collector load balancing management and control program is stored on the storage medium, and when executed by a processor, the collector load balancing management and control program implements the steps of the collector load balancing management and control method according to any one of claims 1 to 7.
CN202010582710.5A 2020-06-23 2020-06-23 Load balancing control method, device and equipment for remote measuring collector and storage medium Pending CN111865817A (en)

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