CN113885362B - Operation regulation and control system of outdoor network cabinet - Google Patents
Operation regulation and control system of outdoor network cabinet Download PDFInfo
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- CN113885362B CN113885362B CN202111242992.5A CN202111242992A CN113885362B CN 113885362 B CN113885362 B CN 113885362B CN 202111242992 A CN202111242992 A CN 202111242992A CN 113885362 B CN113885362 B CN 113885362B
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Abstract
The invention relates to the technical field of regulation and control of an outdoor network machine, in particular to an operation regulation and control system of an outdoor network cabinet, which comprises a cabinet monitoring unit, a cabinet storage unit, a cabinet identification unit, a cabinet judging unit and an alarm display unit; the cabinet monitoring unit is used for collecting cabinet image data of images of the outdoor network machine during working in real time, transmitting the cabinet image data to the cabinet identification unit, and the cabinet storage unit stores cabinet operation information related to the outdoor network machine; according to the invention, the relevant influence values are analyzed through the data analysis result recorded in the past operation of the outdoor network cabinet, real-time data acquisition is carried out according to the influence values, and the correlation degree calculation processing is carried out according to the acquired result and the analyzed influence values, so that the internal temperature change analysis is carried out, the internal temperature abnormality is judged, the data analysis accuracy is improved, the data reliability is improved, hidden danger caused by the internal temperature abnormality of equipment is avoided, and the safety is improved.
Description
Technical Field
The invention relates to the technical field of regulation and control of an outdoor network machine, in particular to an operation regulation and control system of an outdoor network cabinet.
Background
The network cabinet is used for combining and installing a panel, an insert, an insertion box, electronic elements, devices, mechanical parts and components to form an integral installation box, and comprises a server cabinet, a wall-mounted cabinet, a network cabinet, a standard cabinet, an intelligent protection type outdoor cabinet and the like according to types;
along with the increase of the application range of the network cabinets, a large number of network cabinets gradually have different problems, but aiming at the problems occurring with the network cabinets, professional technicians go to site to observe and detect the problems existing in the network cabinets, but for potential safety hazards existing in temperature change in the network cabinets, the technicians cannot quickly judge, and in the analysis process, comprehensive analysis cannot be performed according to relevant operation data of the network cabinets, so that the accuracy of data judgment is affected;
for this purpose, we propose an operation regulation system for an outdoor network cabinet.
Disclosure of Invention
The invention aims to provide an operation regulation and control system of an outdoor network cabinet, which is used for carrying out data arrangement and identification on the past operation records of the outdoor network cabinet, matching the identified data with acquired images, carrying out association calculation on corresponding data of related image values according to a matching result, improving the accuracy of data matching, saving the time of data analysis and improving the working efficiency; the method has the advantages that the relevant influence values are analyzed according to the results of the data analysis recorded in the past operation of the outdoor network cabinet, real-time data acquisition is carried out according to the influence values, and the correlation degree calculation processing is carried out according to the acquired results and the analyzed influence values, so that the change analysis of the internal temperature is carried out, the abnormality of the internal temperature is judged, the accuracy of the data analysis is improved, the reliability of the data is improved, hidden danger caused by the abnormality of the internal temperature of equipment is avoided, and the safety is improved.
The aim of the invention can be achieved by the following technical scheme:
an operation regulation and control system of an outdoor network cabinet comprises a cabinet monitoring unit, a cabinet storage unit, a cabinet identification unit, a cabinet dividing unit, a cabinet judging unit and an alarm display unit;
the cabinet monitoring unit is used for collecting cabinet image data of images of the outdoor network machine during working in real time and transmitting the cabinet image data to the cabinet identification unit;
the cabinet identification unit obtains cabinet operation information from the cabinet storage unit, carries out data induction identification on the cabinet operation information and cabinet shadow data, and transmits the obtained model data, corresponding season operation data, weather operation data, wind operation data, outside operation data, inside operation data, scattered operation data and product operation data to the cabinet division unit;
the cabinet dividing unit is used for performing external cabinet analysis operation on model data, fortune season data, fortune wind data, fortune time data, fortune day data, fortune external data, fortune internal data, fortune scattered data and fortune product data, and transmitting the fortune scattered data, basic season data, basic weather data, fortune wind influence value u3, initial fortune wind value, season difference value JCi, season adjustment value, weather difference value TCi, gas adjustment value, fortune external influence value u1, initial fortune external value, fortune product influence value u2 and initial fortune product value to the cabinet judging unit;
the cabinet monitoring unit is also used for collecting cabinet acquisition information related to the operation of the outdoor network cabinet in real time and transmitting the cabinet acquisition information to the cabinet judging unit;
the cabinet judging unit is used for judging cabinet operation on cabinet acquisition information, fortune scattered data, fortune wind influence value u3, initial fortune wind value, basic season data, basic weather data, season difference JCi, season adjustment value, weather difference TCi, gas adjustment value, fortune external influence value u1, initial fortune external value, fortune yield influence value u2 and initial fortune yield value, and transmitting the obtained normal signal and abnormal adjustment signal to the alarm display unit;
the alarm display unit is used for receiving and displaying the normal signal and the abnormal regulation signal and sending out an alarm according to the abnormal regulation signal.
Further, the specific operation process of the external cabinet analysis operation is as follows:
extracting corresponding fortune season data, fortune day data, fortune wind data, fortune time data, fortune outside data, fortune inside data, fortune bulk data and fortune product data according to the model data;
according to the same model data, selecting time-of-operation data, dividing the time-of-operation data into a plurality of time periods, and dividing the time-of-operation data, the day-of-operation data, the time-of-operation data, the outside-operation data, the inside-operation data, the wind-operation data, the bulk-operation data and the production-operation data which correspond to the model data in each time period, wherein the time-of-operation data, the day-of-operation data, the outside-operation data, the inside-operation data, the wind-operation data, the bulk-operation data and the production-operation data are selected, and the method specifically comprises the steps of:
analyzing the influence of the season data on the in-transit data to obtain a season difference value JCi and a season adjustment value;
extracting data of the same model, wherein a plurality of time periods are the same, and the fortune season data, the fortune outer data, the fortune scattered data and the fortune output data in a plurality of time periods are the same, selecting a plurality of time periods, wherein the time periods are the same in time duration, and performing weather treatment on the fortune day data and the fortune inner data according to a treatment mode of a seasonal difference value and a season adjustment value, so as to obtain basic weather data, a weather difference value TCi and an air adjustment value, wherein i=1, 2 and 3;
analyzing the influence of the extra-shipment data on the intra-shipment data to obtain an extra-shipment influence value u1 and an initial extra-shipment value;
and carrying out heat production treatment on the wind transport data, the wind transport data and the internal transport data according to the processing mode of the external transport influence value and the initial external transport value to obtain a wind transport influence value u3, an initial wind transport value, a wind transport influence value u2 and an initial wind transport value.
Further, the specific process of analyzing the influence of the fortune season data on the fortune inner data is as follows:
respectively calibrating the season data as YJi, i=1, 2,3 and 4, identifying the season data, judging that the season data is spring when i=1 is identified, judging that the season data is summer when i=2 is identified, judging that the season data is summer when i=3 is identified, and judging that the season data is winter when i=4 is identified;
the method comprises the steps of selecting the same model data with the same time period and corresponding fortune day data, fortune time data, fortune outside data, fortune scattered data and fortune product data, wherein the fortune season data is four time periods of spring, summer, autumn and winter, and the fortune inside data corresponding to the four time periods are compared with each other, and specifically comprises the following steps: sorting four pieces of intra-shipment data corresponding to YJi from large to small to obtain intra-shipment sorting data, and calibrating the shipment data corresponding to the last sorting data in the intra-shipment sorting data as basic season data;
and respectively carrying out difference calculation on the in-transit data corresponding to the basic season data and the other three in-transit data corresponding to the plurality of YJi, so as to calculate YJi differences between the in-transit data and the basic season data except the basic season data, carrying out average calculation on the differences between each identical season and the basic season data, calculating out the season differences, respectively calibrating the season differences to JCi, i=1, 2 and 3, selecting the in-transit data corresponding to the basic season data with the same time period when the in-transit season data is taken as the basic season data, carrying out two-by-two difference calculation on the in-transit data corresponding to the basic season data in the time period, calculating out a plurality of basic differences, carrying out average calculation on the plurality of basic differences, and calibrating the basic average value to be the season adjustment value of the basic season data.
Further, the specific process of analyzing the influence of the extra-shipment data on the intra-shipment data is as follows:
extracting data of the same model, wherein a plurality of time periods are the same, and the fortune season data, the fortune day data, the fortune dispersion data and the fortune yield data in a plurality of time periods are kept unchanged;
calculating the corresponding outward-moving difference value and the inward-moving difference value, wherein the inward-moving difference value=the outward-moving difference value u1, calculating an outward-moving influence value, judging that the outward-moving difference value is an influence-free initial value when the outward-moving difference value is changed and the inward-moving difference value is unchanged, calibrating the corresponding outward-moving data as a preselected initial value, sequencing a plurality of preselected initial values from large to small to obtain a preselected initial value sequence, and calibrating the outward-moving data with the largest sequence in the preselected initial values as an initial outward-moving value.
Further, the specific operation process for determining the cabinet operation is as follows:
acquiring cabinet mining information, and dividing the cabinet mining information into mining season data, wind mining data, mining day data, mining time data, mining outside data, mining inside data and mining yield data;
carrying out preliminary judgment processing on the fortune and the relaxation data, the basic season data, the basic weather data, the season difference JCi, the season adjustment value, the weather difference TCi, the gas adjustment value, the fortune and overstock value u1, the initial fortune and overstock value, the fortune and overstock influence value u2, the initial fortune and overstock value, the mining season data, the mining day data, the mining time data, the wind collecting data, the overstock data, the mining inner data and the mining yield data to obtain a season influence value, a season adjustment value, a weather influence value and a gas adjustment value;
the wind collecting data, the off-collecting data, the production collecting data, the season adjusting value, the season influencing value, the air adjusting value, the weather influencing value, the wind transporting influencing value u3, the initial wind transporting value, the wind transporting data, the off-transporting influencing value u1, the initial off-transporting value, the production transporting influencing value u2 and the initial production transporting value are carried into the calculation of the collecting value, and the calculation of the internal temperature value N is calculated Meter with a meter body ；
Will calculate the internal temperature valueN Meter with a meter body And calculating a difference value with the acquired internal data, calculating an internal temperature difference value, setting a safety preset value, comparing the safety preset value with the internal temperature difference value, judging that the temperature of the network machine is normal when the internal temperature difference value is smaller than the safety preset value, generating a normal signal, and judging that the temperature of the network machine is abnormal when the internal temperature difference value is larger than or equal to the safety preset value, and generating an abnormal regulating signal.
Further, the specific processing procedure of the preliminary judgment processing is as follows:
the method comprises the steps of matching the adopted season data with basic season data, judging that seasons are the same when matching results of the adopted season data and the basic season data are consistent, extracting corresponding season adjustment difference values, calibrating the season adjustment difference values as season adjustment values, judging that the seasons are different when matching results of the adopted season data and the basic season data are inconsistent, extracting corresponding season difference values JCi, calibrating the season adjustment difference values as season influence values, wherein the season influence values and the season adjustment values can only have one numerical value, the numerical value of the season adjustment values is zero when the season influence values exist, and the numerical value of the season influence values is zero when the numerical value of the season adjustment values exists;
the method comprises the steps of matching acquired data with basic weather data, judging that weather is the same when the matching result of the acquired data and the basic weather data is consistent, extracting corresponding air regulating data, calibrating the air regulating data as an air regulating value, judging that the weather is different when the matching result of the acquired data and the basic weather data is inconsistent, extracting a corresponding weather difference value TCi, extracting a corresponding weather influence value, wherein the weather influence value and the air regulating value only have one numerical value, the numerical value of the air regulating value is zero when the weather influence value exists, and the numerical value of the weather influence value is zero when the numerical value of the air regulating value exists.
Further, the value calculation formula specifically includes:
wherein N is Meter with a meter body Expressed as calculated internal temperature value, J Initially, the method comprises The initial equipment temperature of the outdoor network machine is represented as the initial equipment temperature of the outdoor network machineThe degree is a preset value, cw is expressed as extraharvest data, yw is expressed as an initial extraharvest value, u1 is expressed as an extraharvest influence value, cc is expressed as production data, yc is expressed as an initial extraharvest value, u2 is expressed as an extraharvest influence value, cf is expressed as wind collection data, yf is expressed as an initial wind collection value, u3 is expressed as a wind collection influence value, ys is expressed as a wind distribution data, A1, A2, A3 and A4 are respectively expressed as a season adjustment value, a season influence value, a gas adjustment value and a weather influence value, only one of two values A1 and A2 exists in A1, A2, A3 and A4, only one value exists in A3 and A4, e1 is expressed as a conversion influence factor of the season adjustment value, the season influence value, the gas adjustment value and the weather influence value, and e2 is expressed as wind collection data, the conversion influence factor of extraharvest data and the production data, and g is expressed as an internal temperature influence deviation adjustment value.
The invention has the beneficial effects that:
(1) The data are tidied and identified through the past operation records of the outdoor network cabinet, the identified data are matched with the acquired images, the corresponding data of the related image values are subjected to association calculation according to the matching result, the accuracy of data matching is improved, the time of data analysis is saved, and the working efficiency is improved;
(2) The method has the advantages that the relevant influence values are analyzed according to the results of the data analysis recorded in the past operation of the outdoor network cabinet, real-time data acquisition is carried out according to the influence values, and the correlation degree calculation processing is carried out according to the acquired results and the analyzed influence values, so that the change analysis of the internal temperature is carried out, the abnormality of the internal temperature is judged, the accuracy of the data analysis is improved, the reliability of the data is improved, hidden danger caused by the abnormality of the internal temperature of equipment is avoided, and the safety is improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention discloses an operation control system of an outdoor network cabinet, which comprises a cabinet monitoring unit, a cabinet storage unit, a cabinet identification unit, a cabinet dividing unit, a cabinet judging unit and an alarm display unit;
the cabinet monitoring unit is used for collecting images of the outdoor network machine in real time when the outdoor network machine works, calibrating the images of the outdoor network machine in real time to be cabinet image data, and transmitting the cabinet image data to the cabinet identification unit;
the cabinet storage unit stores record information related to the outdoor network machine, and the stored record information related to the outdoor network machine is calibrated as cabinet operation information;
the cabinet identification unit acquires cabinet operation information from the cabinet storage unit and carries out data induction identification on the cabinet operation information and cabinet image data, wherein the specific process of the data induction identification is as follows:
the cabinet image data corresponding to the appearance of the outdoor network machine in the cabinet operation information is matched with the cabinet image data, specifically:
when the matching result of the cabinet image data and the cabinet image data is inconsistent, judging that the model which is not matched with the outdoor network machine image obtained by monitoring in the outdoor network machine in the record is not available, generating a secondary acquisition signal, and transmitting the secondary acquisition signal to the cabinet monitoring unit;
the cabinet monitoring unit is used for collecting images and related data of the outdoor network machine during operation according to the secondary collecting signals in real time, transmitting the collected images and related data of the new outdoor network machine during operation to the cabinet identification unit, and carrying out data induction identification according to the images and related data of the new outdoor network machine during operation;
when the matching result of the cabinet image data and the cabinet image data is consistent, judging that the model matched with the outdoor network machine image obtained by monitoring is stored in the outdoor network machine in the record, and calibrating the corresponding matched model as matching model data;
the cabinet operation information comprises model data, operation season data, operation day data, operation time data, operation outside data, operation inside data, operation scattered data, operation wind data and operation product data, wherein the model data refers to the model corresponding to each outdoor network machine in the record, the operation season data refers to the season in which the outdoor network machine of the corresponding model in the record is located when in operation, the operation season data comprises four seasons, namely, the weather of the outdoor network machine of the corresponding model in the record is located when in operation, the weather is divided into sunny days, rainy days and cloudy days, the operation outside data refers to the temperature, namely, the environment temperature, of the outdoor network machine of the corresponding model in the record outside the operation wind power, the operation product data refers to the temperature generated by the outdoor network machine of the corresponding model in the record when in operation, the inside data refers to the temperature of equipment of the outdoor network machine of the corresponding model in the record when in operation, and the operation wind data refer to the heat dissipation capacity of the outdoor network machine of the corresponding model in the record when in operation;
transmitting model data, fortune season data, fortune day data, fortune wind data, fortune outside data, fortune inside data, fortune scattered data and fortune produce data to a cabinet dividing unit;
the cabinet dividing unit is used for carrying out external cabinet analysis operation on model data, fortune season data, fortune wind data, fortune time data, fortune day data, fortune outer data, fortune inner data, fortune scattered data and fortune product data, and the specific operation process of external cabinet analysis operation is:
extracting corresponding fortune season data, fortune day data, fortune wind data, fortune time data, fortune outside data, fortune inside data, fortune bulk data and fortune product data according to the model data;
according to the same model data, selecting time-of-operation data, dividing the time-of-operation data into a plurality of time periods, selecting out time-of-operation data, day-of-operation data, time-of-operation data, outside-operation data, inside-operation data, wind-operation data, fortune scattered data and fortune produced data corresponding to the model data in each time period, and dividing the time-of-operation data, day-of-operation data, time-of-operation data, outside-operation data, inside-operation data, fortune scattered data and fortune produced data corresponding to the model data in each time period into a plurality of time periods, wherein the specific steps are as follows:
respectively calibrating the season data as YJi, i=1, 2,3 and 4, identifying the season data, judging that the season data is spring when i=1 is identified, judging that the season data is summer when i=2 is identified, judging that the season data is summer when i=3 is identified, and judging that the season data is winter when i=4 is identified;
the method comprises the steps of selecting the same model data with the same time period and corresponding fortune day data, fortune time data, fortune outside data, fortune scattered data and fortune product data, wherein the fortune season data is four time periods of spring, summer, autumn and winter, and the fortune inside data corresponding to the four time periods are compared with each other, and specifically comprises the following steps: sorting four pieces of intra-shipment data corresponding to YJi from large to small to obtain intra-shipment sequencing data, calibrating intra-shipment data corresponding to last data in the intra-shipment sequencing data to be basic seasonal data, calculating differences of the intra-shipment data corresponding to the basic seasonal data and the other three pieces of intra-shipment data corresponding to the plurality of YJi respectively, calculating differences of YJi except the basic seasonal data and the basic seasonal data respectively, calculating average values of differences of the same seasons and the basic seasonal data, calculating seasonal differences, calibrating the seasonal differences to be JCi, i=1, 2 and 3 respectively, selecting the intra-shipment data corresponding to the basic seasonal data in the same time period when the intra-shipment data is taken as the basic seasonal data, calculating the basic differences by two, calculating the average values of the basic differences, and calibrating the average values of the basic seasons to be adjustment values of the basic seasonal data;
extracting data of the same model, wherein a plurality of time periods are the same, and the fortune season data, the fortune outer data, the fortune scattered data and the fortune output data in a plurality of time periods are the same, selecting a plurality of time periods, wherein the time periods are the same in time duration, and performing weather treatment on the fortune day data and the fortune inner data according to a treatment mode of a seasonal difference value and a season adjustment value, so as to obtain basic weather data, a weather difference value TCi and an air adjustment value, wherein i=1, 2 and 3;
extracting data of the same model, wherein a plurality of time periods are the same, the fortune season data, fortune day data, fortune scattered data and fortune yield data in a plurality of time periods are kept unchanged, selecting fortune outer data and fortune inner data corresponding to a plurality of time periods, carrying out difference value calculation on the fortune outer data, calculating a fortune outer difference value, carrying out difference value calculation on the fortune inner data corresponding to the fortune outer data, calculating a fortune inner difference value, carrying out calculation on the corresponding fortune outer difference value and the fortune inner difference value, calculating a fortune outer difference value = fortune outer difference value u1, calculating a fortune outer influence value, judging that no influence initial value exists when the fortune outer difference value changes and the fortune inner difference value is unchanged, calibrating the corresponding fortune outer data as a preselected initial value, sequencing a plurality of preselected initial values from large to small, obtaining a preselected initial value sequence, and calibrating the fortune outer data with the largest sequence in the preselected initial value as an initial fortune outer value;
carrying out heat production treatment on the wind transport data, the yield transport data and the intra-transport data according to the processing mode of the wind transport influence value and the initial wind transport value to obtain a wind transport influence value u3, an initial wind transport value, a yield transport influence value u2 and an initial yield transport value;
transmitting the fortune power data, the basic season data, the basic weather data, the fortune wind influence value u3, the initial fortune wind value, the season difference value JCi, the season adjustment value, the weather difference value TCi, the gas adjustment value, the fortune outside influence value u1, the initial fortune outside value, the fortune yield influence value u2 and the initial fortune yield value to a cabinet judging unit;
the cabinet monitoring unit is also used for collecting operation related data of the outdoor network cabinet in real time, calibrating the operation related data of the outdoor network cabinet collected in real time into cabinet acquisition information, wherein the cabinet acquisition information corresponds to cabinet shadow data, and transmitting the cabinet acquisition information to the cabinet judging unit;
the cabinet judging unit is used for judging cabinet operation on cabinet acquisition information, fortune data, fortune wind influence value u3, initial fortune wind value, basic season data, basic weather data, season difference JCi, season adjustment value, weather difference TCi, gas adjustment value, fortune external influence value u1, initial fortune external value, fortune output influence value u2 and initial fortune output value, and the specific operation process for judging cabinet operation is as follows:
acquiring cabinet mining information, dividing the cabinet mining information into mining season data, wind mining data, mining day data, time mining data, out-of-mining data, in-mining data and production data, wherein the mining season data refers to seasons in which a real-time acquired outdoor network machine is located when in operation, the mining season data comprises four seasons in spring, summer, autumn and winter, the mining day data refers to weather in which the real-time acquired outdoor network machine is located when in operation, the weather is divided into sunny days, rainy days and cloudy days, the out-of-mining data refers to the temperature outside the real-time acquired outdoor network machine when in operation, namely the environmental temperature, the production data refers to the temperature of the real-time acquired outdoor network machine when in operation, the in-mining data refers to the temperature of equipment when in operation, the mining season data refers to the time point corresponding to the real-time acquired outdoor network machine when in operation, and the wind mining data refers to the wind power corresponding to the real-time acquired outdoor network machine when in operation;
carrying out preliminary judgment processing on fortune power data, basic season data, basic weather data, season difference JCi, season adjustment value, weather difference TCi, gas adjustment value, fortune outward influence value u1, initial fortune outward value, fortune outward influence value u2, initial fortune outward influence value, and mining season data, mining day data, mining time data, wind data, mining outward data, mining inward data and mining outward data, specifically:
the method comprises the steps of matching the adopted season data with basic season data, judging that seasons are the same when matching results of the adopted season data and the basic season data are consistent, extracting corresponding season adjustment difference values, calibrating the season adjustment difference values as season adjustment values, judging that the seasons are different when matching results of the adopted season data and the basic season data are inconsistent, extracting corresponding season difference values JCi, calibrating the season adjustment difference values as season influence values, wherein the season influence values and the season adjustment values can only have one numerical value, the numerical value of the season adjustment values is zero when the season influence values exist, and the numerical value of the season influence values is zero when the numerical value of the season adjustment values exists;
the method comprises the steps of matching acquired data with basic weather data, judging that weather is the same when the matching result of the acquired data and the basic weather data is consistent, extracting corresponding air regulating data, calibrating the air regulating data as an air regulating value, judging that the weather is different when the matching result of the acquired data and the basic weather data is inconsistent, extracting a corresponding weather difference value TCi, extracting a corresponding weather influence value, wherein the weather influence value and the air regulating value only have one numerical value, the numerical value of the air regulating value is zero when the weather influence value exists, and the numerical value of the weather influence value is zero when the numerical value of the air regulating value exists;
bringing wind collecting data, out-of-collecting data and production collecting data and season adjusting values, season influencing values, gas adjusting values, weather influencing values, wind transporting influencing values u3, initial wind transporting values, carrying data, out-of-transportation influencing values u1, initial out-of-transportation values, carrying out-of-transportation influencing values u2 and initial production transporting values into a collecting value calculating type:
wherein N is Meter with a meter body Expressed as calculated internal temperature value, J Initially, the method comprises The method comprises the steps that the initial equipment temperature of an outdoor network machine is represented as a preset value, cw is represented as extravehicular data, yw is represented as an initial extravehicular value, u1 is represented as an extravehicular influence value, cc is represented as production data, yc is represented as an initial production value, u2 is represented as a production influence value, cf is represented as wind collecting data, yf is represented as an initial wind conveying value, u3 is represented as a wind conveying influence value, ys is represented as wind distributing data, A1, A2, A3 and A4 are respectively represented as a season adjusting value, a seasonal influence value, a gas adjusting value and a weather influence value, only one of A1, A2, A3 and A4 exists, only one of A3 and A4 exists, e1 is represented as a season adjusting value, a seasonal influence value, a gas adjusting value and a weather influence factor of the production influence value, e2 is represented as wind collecting data, the external data and a conversion influence factor of the production data, and g is represented as an internal temperature deviation adjusting value;
will calculate the internal temperature value N Meter with a meter body Calculating difference value with the acquired internal data, calculating internal temperature difference value, setting a safety preset value, comparing the safety preset value with the internal temperature difference value, and calculating the internal temperature difference valueWhen the internal temperature difference value is larger than or equal to the safety preset value, judging that the temperature of the network machine is abnormal, and generating an abnormal regulation signal;
transmitting the normal signal and the abnormal regulation signal to the alarm display unit;
the alarm display unit is used for receiving the normal signal and the abnormal regulation signal, identifying the normal signal and the abnormal regulation signal, displaying the normal signal when the normal signal is identified, displaying the abnormal regulation signal when the abnormal regulation signal is identified, and giving an alarm to remind a technician to carry out safety inspection, wherein the alarm display unit is specifically an intelligent computer.
The invention collects the image of the outdoor network machine in real time when working through the cabinet monitoring unit, the image of the outdoor network machine in real time is marked as cabinet shadow data, the cabinet shadow data is transmitted to the cabinet identification unit, the record information related to the outdoor network machine is stored in the cabinet storage unit, the record information related to the stored outdoor network machine is marked as cabinet operation information, the cabinet identification unit obtains the cabinet operation information from the cabinet storage unit, carries out data summarization and identification on the cabinet operation information and the cabinet shadow data, transmits the obtained model data, the operation season data, the operation day data, the operation wind data, the operation outside data, the operation inside data, the operation scattered data and the operation product data to the cabinet dividing unit, and the cabinet dividing unit carries out external analysis operation on the model data, the operation season data, the operation wind data, the operation time data, the operation day data, the operation outside data, the operation inside data, the operation scattered data and the operation product data, transmitting the obtained operational dispersion data, basic season data, basic weather data, operational wind influence value u3, initial operational wind value, seasonal difference value JCi, operational season value, weather difference value TCi, operational gas value, operational yield influence value u1, initial operational yield value u2 and initial operational yield value to a cabinet judging unit, the cabinet monitoring unit also acquires operation related data of the outdoor network cabinet in real time, the operation related data of the outdoor network cabinet acquired in real time is calibrated as cabinet acquisition information, the cabinet acquisition information corresponds to the cabinet shadow data, the cabinet acquisition information is transmitted to the cabinet judging unit, the cabinet judging unit transmits the cabinet acquisition information, the operational dispersion data, the operational wind influence value u3, the initial operational wind value, basic seasonal data, basic weather data, seasonal difference value JCi, operational season value, weather difference value TCi, operational gas value, operational yield value u1, initial operational yield value, the operation of the cabinet is judged by the operation influence value u2 and the initial operation value, the obtained normal signal and abnormal regulation signal are transmitted to the alarm display unit, the alarm display unit receives the normal signal and the abnormal regulation signal and recognizes the normal signal and the abnormal regulation signal, when the normal signal is recognized, the normal signal is displayed, when the abnormal regulation signal is recognized, the abnormal regulation signal is displayed, and an alarm is sent to remind technicians of safety inspection.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (7)
1. The operation regulation and control system of the outdoor network cabinet is characterized by comprising a cabinet monitoring unit, a cabinet storage unit, a cabinet identification unit, a cabinet dividing unit, a cabinet judging unit and an alarm display unit;
the cabinet monitoring unit is used for collecting cabinet image data of images of the outdoor network machine during working in real time and transmitting the cabinet image data to the cabinet identification unit;
the cabinet identification unit obtains cabinet operation information from the cabinet storage unit, carries out data induction identification on the cabinet operation information and cabinet shadow data, and transmits the obtained model data, corresponding season operation data, weather operation data, wind operation data, outside operation data, inside operation data, scattered operation data and product operation data to the cabinet division unit;
the cabinet dividing unit is used for performing external cabinet analysis operation on model data, fortune season data, fortune wind data, fortune time data, fortune day data, fortune external data, fortune internal data, fortune scattered data and fortune product data, and transmitting the fortune scattered data, basic season data, basic weather data, fortune wind influence value u3, initial fortune wind value, season difference value JCi, season adjustment value, weather difference value TCi, gas adjustment value, fortune external influence value u1, initial fortune external value, fortune product influence value u2 and initial fortune product value to the cabinet judging unit;
the cabinet monitoring unit is also used for collecting cabinet acquisition information related to the operation of the outdoor network cabinet in real time and transmitting the cabinet acquisition information to the cabinet judging unit;
the cabinet judging unit is used for judging cabinet operation on cabinet acquisition information, fortune scattered data, fortune wind influence value u3, initial fortune wind value, basic season data, basic weather data, season difference JCi, season adjustment value, weather difference TCi, gas adjustment value, fortune external influence value u1, initial fortune external value, fortune yield influence value u2 and initial fortune yield value, and transmitting the obtained normal signal and abnormal adjustment signal to the alarm display unit;
the alarm display unit is used for receiving and displaying the normal signal and the abnormal regulation signal and sending out an alarm according to the abnormal regulation signal.
2. The system of claim 1, wherein the specific operation procedure of the analysis operation of the outer cabinet is:
extracting corresponding fortune season data, fortune day data, fortune wind data, fortune time data, fortune outside data, fortune inside data, fortune bulk data and fortune product data according to the model data;
according to the same model data, selecting time-of-operation data, dividing the time-of-operation data into a plurality of time periods, and dividing the time-of-operation data, the day-of-operation data, the time-of-operation data, the outside-operation data, the inside-operation data, the wind-operation data, the bulk-operation data and the production-operation data which correspond to the model data in each time period, wherein the time-of-operation data, the day-of-operation data, the outside-operation data, the inside-operation data, the wind-operation data, the bulk-operation data and the production-operation data are selected, and the method specifically comprises the steps of:
analyzing the influence of the season data on the in-transit data to obtain a season difference value JCi and a season adjustment value;
extracting data of the same model, wherein a plurality of time periods are the same, and the fortune season data, the fortune outer data, the fortune scattered data and the fortune output data in a plurality of time periods are the same, selecting a plurality of time periods, wherein the time periods are the same in time duration, and performing weather treatment on the fortune day data and the fortune inner data according to a treatment mode of a seasonal difference value and a season adjustment value, so as to obtain basic weather data, a weather difference value TCi and an air adjustment value, wherein i=1, 2 and 3;
analyzing the influence of the extra-shipment data on the intra-shipment data to obtain an extra-shipment influence value u1 and an initial extra-shipment value;
and carrying out heat production treatment on the wind transport data, the wind transport data and the internal transport data according to the processing mode of the external transport influence value and the initial external transport value to obtain a wind transport influence value u3, an initial wind transport value, a wind transport influence value u2 and an initial wind transport value.
3. The operation control system of an outdoor network cabinet according to claim 2, wherein the specific process of analyzing the influence of the season data on the intra-operation data is:
respectively calibrating the season data as YJi, i=1, 2,3 and 4, identifying the season data, judging that the season data is spring when i=1 is identified, judging that the season data is summer when i=2 is identified, judging that the season data is summer when i=3 is identified, and judging that the season data is winter when i=4 is identified;
the method comprises the steps of selecting the same model data with the same time period and corresponding fortune day data, fortune time data, fortune outside data, fortune scattered data and fortune product data, wherein the fortune season data is four time periods of spring, summer, autumn and winter, and the fortune inside data corresponding to the four time periods are compared with each other, and specifically comprises the following steps: sorting four pieces of intra-shipment data corresponding to YJi from large to small to obtain intra-shipment sorting data, and calibrating the shipment data corresponding to the last sorting data in the intra-shipment sorting data as basic season data;
and respectively carrying out difference calculation on the in-transit data corresponding to the basic season data and the other three in-transit data corresponding to the plurality of YJi, so as to calculate YJi differences between the in-transit data and the basic season data except the basic season data, carrying out average calculation on the differences between each identical season and the basic season data, calculating out the season differences, respectively calibrating the season differences to JCi, i=1, 2 and 3, selecting the in-transit data corresponding to the basic season data with the same time period when the in-transit season data is taken as the basic season data, carrying out two-by-two difference calculation on the in-transit data corresponding to the basic season data in the time period, calculating out a plurality of basic differences, carrying out average calculation on the plurality of basic differences, and calibrating the basic average value to be the season adjustment value of the basic season data.
4. The operation control system of an outdoor network cabinet according to claim 3, wherein the specific process of analyzing the influence of the extra-shipment data on the intra-shipment data is:
extracting data of the same model, wherein a plurality of time periods are the same, and the fortune season data, the fortune day data, the fortune dispersion data and the fortune yield data in a plurality of time periods are kept unchanged;
calculating the corresponding outward-moving difference value and the inward-moving difference value, wherein the inward-moving difference value=the outward-moving difference value u1, calculating an outward-moving influence value, judging that the outward-moving difference value is an influence-free initial value when the outward-moving difference value is changed and the inward-moving difference value is unchanged, calibrating the corresponding outward-moving data as a preselected initial value, sequencing a plurality of preselected initial values from large to small to obtain a preselected initial value sequence, and calibrating the outward-moving data with the largest sequence in the preselected initial values as an initial outward-moving value.
5. The system of claim 4, wherein the specific operation process for determining the operation of the cabinet is:
acquiring cabinet mining information, and dividing the cabinet mining information into mining season data, wind mining data, mining day data, mining time data, mining outside data, mining inside data and mining yield data;
carrying out preliminary judgment processing on the fortune and the relaxation data, the basic season data, the basic weather data, the season difference JCi, the season adjustment value, the weather difference TCi, the gas adjustment value, the fortune and overstock value u1, the initial fortune and overstock value, the fortune and overstock influence value u2, the initial fortune and overstock value, the mining season data, the mining day data, the mining time data, the wind collecting data, the overstock data, the mining inner data and the mining yield data to obtain a season influence value, a season adjustment value, a weather influence value and a gas adjustment value;
the wind collecting data, the off-collecting data, the production collecting data, the season adjusting value, the season influencing value, the air adjusting value, the weather influencing value, the wind transporting influencing value u3, the initial wind transporting value, the wind transporting data, the off-transporting influencing value u1, the initial off-transporting value, the production transporting influencing value u2 and the initial production transporting value are carried into the calculation of the collecting value, and the calculation of the internal temperature value N is calculated Meter with a meter body ；
Will calculate the internal temperature value N Meter with a meter body And calculating a difference value with the acquired internal data, calculating an internal temperature difference value, setting a safety preset value, comparing the safety preset value with the internal temperature difference value, judging that the temperature of the network machine is normal when the internal temperature difference value is smaller than the safety preset value, generating a normal signal, and judging that the temperature of the network machine is abnormal when the internal temperature difference value is larger than or equal to the safety preset value, and generating an abnormal regulating signal.
6. The operation control system of an outdoor network cabinet according to claim 5, wherein the specific processing procedure of the preliminary determination processing is:
the method comprises the steps of matching the adopted season data with basic season data, judging that seasons are the same when matching results of the adopted season data and the basic season data are consistent, extracting corresponding season adjustment difference values, calibrating the season adjustment difference values as season adjustment values, judging that the seasons are different when matching results of the adopted season data and the basic season data are inconsistent, extracting corresponding season difference values JCi, calibrating the season adjustment difference values as season influence values, wherein the season influence values and the season adjustment values can only have one numerical value, the numerical value of the season adjustment values is zero when the season influence values exist, and the numerical value of the season influence values is zero when the numerical value of the season adjustment values exists;
the method comprises the steps of matching acquired data with basic weather data, judging that weather is the same when the matching result of the acquired data and the basic weather data is consistent, extracting corresponding air regulating data, calibrating the air regulating data as an air regulating value, judging that the weather is different when the matching result of the acquired data and the basic weather data is inconsistent, extracting a corresponding weather difference value TCi, extracting a corresponding weather influence value, wherein the weather influence value and the air regulating value only have one numerical value, the numerical value of the air regulating value is zero when the weather influence value exists, and the numerical value of the weather influence value is zero when the numerical value of the air regulating value exists.
7. The system of claim 6, wherein the value calculation formula is specifically:
wherein N is Meter with a meter body Expressed as calculated internal temperature value, J Initially, the method comprises The method comprises the steps of representing equipment initial temperature of an outdoor network machine, wherein the equipment initial temperature of the outdoor network machine is a preset value, cw represents extravehicular data, yw represents an initial extravehicular value, u1 represents an extravehicular influence value, cc represents production data, yc represents an initial production value, u2 represents an operation influence value, cf represents wind collecting data, yf represents an initial wind collecting value, u3 represents a wind collecting influence value, ys represents wind distributing data, A1, A2, A3 and A4 respectively represent a season regulating value, a season influence value, a gas regulating value and a weather influence value, only one of the two values A1 and A2 exists in A1, A2, A3 and A4, only one of the values A3 and A4 exists in A1 represents the season regulating value, the season influence value, the gas regulating value and a conversion influence factor of the production influence value, e2 represents the wind collecting data, the external data and the production data, and g represents an internal temperature deviation regulating value.
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Denomination of invention: An Operational Control System for Outdoor Network Cabinets Granted publication date: 20240315 Pledgee: Sixian small and medium-sized enterprises financing Company Limited by Guarantee Pledgor: ANHUI FEIKAI ELECTRONIC TECHNOLOGY Co.,Ltd. Registration number: Y2024980034986 |