CN107368000A - A kind of Room Power environment control method - Google Patents

A kind of Room Power environment control method Download PDF

Info

Publication number
CN107368000A
CN107368000A CN201710760270.6A CN201710760270A CN107368000A CN 107368000 A CN107368000 A CN 107368000A CN 201710760270 A CN201710760270 A CN 201710760270A CN 107368000 A CN107368000 A CN 107368000A
Authority
CN
China
Prior art keywords
mrow
value
msub
voltage
dynamic environment
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201710760270.6A
Other languages
Chinese (zh)
Other versions
CN107368000B (en
Inventor
唐琳
王顺阳
王永刚
宋杰
陈福君
徐斌
董晓斐
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Dezhou Power Supply Co of State Grid Shandong Electric Power Co Ltd
Original Assignee
Dezhou Power Supply Co of State Grid Shandong Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Dezhou Power Supply Co of State Grid Shandong Electric Power Co Ltd filed Critical Dezhou Power Supply Co of State Grid Shandong Electric Power Co Ltd
Priority to CN201710760270.6A priority Critical patent/CN107368000B/en
Publication of CN107368000A publication Critical patent/CN107368000A/en
Application granted granted Critical
Publication of CN107368000B publication Critical patent/CN107368000B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0428Safety, monitoring
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/24Pc safety
    • G05B2219/24024Safety, surveillance

Abstract

The invention provides a kind of dynamic environment monitoring method, including:Step 10, the data value of dynamic environment is gathered in real time, wherein, the data value of the dynamic environment includes:The magnitude of voltage and current value of civil power, the magnitude of voltage of power distribution and current value, temperature and humidity value, leak water value and smokescope value;Step 20, the magnitude of voltage of the civil power and current value, the magnitude of voltage of the power distribution and current value, the temperature and humidity value, the leak water value and the smokescope value are normalized after weighting processing compared with preset value, obtain comparative result;Step 30, when the comparative result meets alert if, then trigger and alarm and generate warning message.The present invention can have found the exception in dynamic environment in time and give a warning, and enhance the degree of accuracy of alarm, save manpower and materials.

Description

A kind of Room Power environment control method
Technical field
The present invention relates to electric power safety field, more particularly to a kind of Room Power environment control method.
Background technology
At present, it is widely distributed various middle-size and small-size in the industries such as government, finance, electric power, traffic, telecommunications, hospital, education Business computer room (data center module), because various types of business datums directly provide support by these computer rooms, if in computer room Dynamic environment (including:Civil power, power distribution, humiture, leak and smog) if factor breaks down, it is likely to cause each The interruption or loss of data of kind business, then influence the stagnation and operating of business event, thus, for the prison in all directions of computer room Control is necessary.But comprehensively the dynamic environment in computer room can be entered currently without a kind of effective monitoring method Row monitoring.
A kind of dynamic environment monitoring method is given in CN201310210149.8, but does not provide the magnitude of voltage of civil power With current value, the magnitude of voltage of power distribution and current value, temperature and humidity value, leak water value and smokescope value and predetermined voltage ratio Compared with specific method and triggering alarm condition, so there is the space that is further lifted.
The content of the invention
The present invention is to solve the above problems, provide a kind of dynamic environment monitoring method.
According to one embodiment of the invention, there is provided a kind of dynamic environment monitoring method, it is characterised in that methods described bag Include:
Step 10, the data value of dynamic environment is gathered in real time, wherein, the data value of the dynamic environment includes:Civil power Magnitude of voltage and current value, the magnitude of voltage of power distribution and current value, temperature and humidity value, leak water value and smokescope value;
Step 20, by the magnitude of voltage of the civil power and current value, the magnitude of voltage of the power distribution and current value, the temperature Humidity value, the leak water value and the smokescope value are normalized with being compared after weighting processing with preset value Compared with obtaining comparative result;
Step 30, when the comparative result meets alert if, then trigger and alarm and generate warning message.
Particularly, the step 20 further comprises:
Step 100, by the magnitude of voltage V of the civil powersWith current value Is, the power distribution magnitude of voltage VdAnd current value Id, the temperature value TEM, the humidity value HUM, the leak water value CAP and the smokescope value THK carry out normalizing Change;
Step 200, the magnitude of voltage and current value, the magnitude of voltage of the power distribution and current value, institute of the civil power are determined State temperature and humidity value, the leak water value and weight shared by the smokescope value;
Step 300, dynamic environment coefficient of colligation is calculated;
Step 400, the comparative result of dynamic environment coefficient of colligation and preset value is exported.
Preferably, in the step 10 gather dynamic environment data value method be using different types of sensor come The data value of dynamic environment is gathered, such as line voltage and power distribution voltage are gathered using voltage sensor, is passed using electric current Sensor gathers mains current and power distribution electric current, and temperature in use sensor gathers the temperature information in dynamic environment, and use is wet The humidity information spent in sensor collection dynamic environment, the smokescope information in dynamic environment is gathered using Smoke Sensor, Leak water amount information is gathered using level sensor.
Further, the preset value in the step 20 is specified for user, and span is to be less than or equal to 1 more than or equal to 0, In particular cases, or each parameter specifies a threshold value, for being made comparisons with the parameter after normalization.
Further, the warning message in the step 30 can be short message form or buzzer, can in short message form To include but are not limited to time of fire alarming, place, alarm parameters value and dynamic environment parameter value;The buzzer can use The longs of difference arrangement show different type of alarm, such as a short a length of line voltage alarm, a two short a length of civil powers Electric current is alarmed.
The present invention utilizes the magnitude of voltage and current value of civil power, the magnitude of voltage of power distribution and current value, temperature in dynamic environment Value and weight after all kinds of parameter normalizations such as humidity value, leak water value and smokescope value, calculate dynamic environment synthesis system Number, the quality for the evaluation dynamic environment that can be quantified, the waste that multiple parameters repeat to compare the time brought and resource is avoided, And the skimble-scamble problem of standard that many kinds of parameters is brought, raising monitoring efficiency that can be by a relatively large margin.
Embodiment
To make the object, technical solutions and advantages of the present invention clearer, below by the technology in the embodiment of the present invention Scheme is clearly and completely described, it is clear that and described embodiment is part of the embodiment of the present invention, rather than whole Embodiment.Based on the embodiment in the present invention, those of ordinary skill in the art are obtained under the premise of creative work is not made The every other embodiment obtained, belongs to the scope of protection of the invention.
The embodiment of the present invention one discloses a kind of dynamic environment monitoring method, it is characterised in that methods described includes:
Step 10, the data value of dynamic environment is gathered in real time, wherein, the data value of the dynamic environment includes:Civil power Magnitude of voltage and current value, the magnitude of voltage of power distribution and current value, temperature and humidity value, leak water value and smokescope value;
Step 20, by the magnitude of voltage of the civil power and current value, the magnitude of voltage of the power distribution and current value, the temperature Humidity value, the leak water value and the smokescope value are normalized with being compared after weighting processing with preset value Compared with obtaining comparative result;
Step 30, when the comparative result meets alert if, then trigger and alarm and generate warning message.
Particularly, the step 20 further comprises:
Step 100, by the magnitude of voltage V of the civil powersWith current value Is, the power distribution magnitude of voltage VdAnd current value Id, the temperature value TEM, the humidity value HUM, the leak water value CAP and the smokescope value THK carry out normalizing Change;
The method for normalizing of the line voltage is:
Wherein Vs' it is line voltage value VsValue after normalization, VsiBe ith measurement gained line voltage value, VsminIt is The minimum value of the line voltage value measured, VsmaxIt is the maximum of the line voltage measured;
The mains current value IsMethod for normalizing be:
Wherein Is' it is mains current value IsValue after normalization, IsiBe ith measurement gained mains current value, IsminIt is The minimum value of the mains current value measured, IsmaxIt is the maximum of the mains current measured;
The power distribution magnitude of voltage VdMethod for normalizing be:
Wherein VdiFor the magnitude of voltage of the power distribution of ith measurement gained, Vdi' be power distribution magnitude of voltage VdiNormalizing Value after change, n are the total degree currently measured;
The current value I of the power distributiondMethod for normalizing is:
Wherein IdiFor the current value of the power distribution of ith measurement gained, Idi' be power distribution magnitude of voltage IdiNormalizing Value after change;
The normalized methods of temperature value TEM are:
Wherein TEMiFor the temperature value of ith measurement gained, TEMi' it is temperature value TEMiValue after normalization;
The normalized methods of humidity value HUM are:
HUMi'=HUMi
Wherein HUMiFor the humidity value of ith measurement gained, HUMi' it is humidity value HUMiValue after normalization;
The normalized methods of the leak water value CAP are:
Wherein CAPiFor the leak water value of ith measurement gained, CAPi' it is CAPiValue after normalization;
The normalized methods of the smokescope value THK are:
THKi'=THKi
Wherein THKiFor the smokescope value of ith measurement gained, THKi' it is THKiValue after normalization;
The advantage that data are normalized is in the technical program, eliminates fluctuation quantity difference pair between various parameters The influence of logic judgment, for example, do not do it is normalized in the case of, temperature may fluctuate 10 degree or so up and down, and humidity may only exist About 50% change, but the significance level of temperature and humidity effect on environment is all identical in general, by normalizing it Afterwards, influence of the fluctuation of parameters to last dynamic environment coefficient of colligation is with regard to basically identical.
Step 200, the magnitude of voltage and current value, the magnitude of voltage of the power distribution and current value, institute of the civil power are determined State temperature and humidity value, the leak water value and weight shared by the smokescope value;
If for calculating the parameter of dynamic environment coefficient of colligation as m, in the case of not specifying, each coefficient Weight it is equal, be all 1/m, 1≤m≤8;
If for calculating the parameter of dynamic environment coefficient of colligation as m, and the important journey of parameters can be determined Degree, then according to the order of significance level from low to high, the parameters weighting can be specified to be successively
If for calculating the parameter of dynamic environment coefficient of colligation as m, and the important journey of parameters is not can determine that Degree, then before taking the k coefficient weights average value calculated as weight,
Wherein αijIt is the weight coefficient during first j times of i-th parameter calculates, αi(k+1)For in i-th parameter this calculating Weight coefficient;In actual applications, parameters may be not consistent to the influence of dynamic environment, such as line voltage The influence that fluctuation can work server in server room is larger;Influence of the same parameter under different scenes to dynamic environment Also it is inconsistent, such as may be larger to server in server room work influence in southern humidity, or may humidity in rainy season It is larger on server influence, there is weight coefficient to be set afterwards according to different application scenarios and period to different parameters Different weighted values is put, ensures that the dynamic environment coefficient of colligation that finally obtains is more convincing, while should be noted that all The weight coefficient sum of parameter is 1.
Step 300, dynamic environment coefficient of colligation is calculated;
According to the weight coefficient of the parameters determined in step 200, dynamic environment coefficient of colligation COF, specific side are calculated Method is:
If for calculating the parameter of dynamic environment coefficient of colligation as m, in the case of not specifying, each coefficient Weight it is equal, be all 1/m, then
Wherein AiIt is for calculating value after i-th of parameter normalization of dynamic environment coefficient of colligation;
If for calculating the parameter of dynamic environment coefficient of colligation as m, and the important journey of parameters can be determined Degree, then according to the order of significance level from low to high, the parameters weighting can be specified to be successivelySo
Wherein AjBe for calculating j-th of the parameter normalization of the significance level of dynamic environment coefficient of colligation from low to high after Value;
If for calculating the parameter of dynamic environment coefficient of colligation as m, and the important journey of parameters is not can determine that Degree, then before taking the k coefficient weights average value calculated as weight,
So then have
Step 400, the comparative result of dynamic environment coefficient of colligation and preset value is exported, specifically, when dynamic environment integrates When coefficient is more than first threshold, to central processing unit alert, first threshold is preferably 0.55.
Particularly, can be different according to concrete application scene, certain adjustment is carried out to preset value, such as keeping the safety in production Period, preset value is turned down as 0.5, ensure that computer room being capable of safe operation;During festivals or holidays, preset value is heightened as 0.6, subtracted Few manpower consumption;In work peak period, for example, 6 points of evening to during 12 points of morning, preset value is adjusted to 0.5, ensures computer room Normal operation offer service;In work and rest time, such as preset value is adjusted to 0.6, subtracted by 2:00 AM between 7 points of morning Few misinformation probability, leave operator on duty's rest alone as far as possible.
The dynamic environment monitoring method of the present embodiment can efficiently find the concurrent responding of anomaly in dynamic environment Accuse, so that staff can have found the failure in dynamic environment in time and be investigated in time.
Other will not be described here with method something in common, and details refer to method declaratives.
The embodiment of the present invention can effectively monitor dynamic environment situation of change, and it is dynamic can to integrate various environmental parameters calculating Force environment coefficient of colligation and compared with preset value, so as to note abnormalities and give a warning in time, enhances alarm The degree of accuracy, smallest number sample test result indicates that, in alarm accuracy, the method for the technical program can reach 90% or so.
Finally it should be noted that:The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although The present invention is described in detail with reference to the foregoing embodiments, it will be understood by those within the art that:It still may be used To be modified to the technical scheme described in foregoing embodiments, or equivalent substitution is carried out to which part technical characteristic; And these modification or replace, do not make appropriate technical solution essence depart from various embodiments of the present invention technical scheme spirit and Scope.

Claims (7)

  1. A kind of 1. dynamic environment monitoring method, it is characterised in that methods described includes:
    Step 10, the data value of dynamic environment is gathered in real time, wherein, the data value of the dynamic environment includes:The voltage of civil power Value and current value, the magnitude of voltage of power distribution and current value, temperature and humidity value, leak water value and smokescope value;
    Step 20, by the magnitude of voltage of the civil power and current value, the magnitude of voltage of the power distribution and current value, the humiture Value, the leak water value and the smokescope value are normalized after weighting processing compared with preset value, are obtained To comparative result;
    Step 30, when the comparative result meets alert if, then trigger and alarm and generate warning message.
  2. 2. dynamic environment monitoring method according to claim 1, it is characterised in that step 20 further comprises following step Suddenly:
    Step 100, by the magnitude of voltage V of the civil powersWith current value Is, the power distribution magnitude of voltage VdWith current value Id, institute Temperature value TEM, the humidity value HUM, the leak water value CAP and the smokescope value THK is stated to be normalized;
    The method for normalizing of the line voltage is:
    <mrow> <msup> <msub> <mi>V</mi> <mi>s</mi> </msub> <mo>&amp;prime;</mo> </msup> <mo>=</mo> <mfrac> <mrow> <msub> <mi>V</mi> <mrow> <mi>s</mi> <mi>i</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>V</mi> <mrow> <mi>s</mi> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> <mrow> <msub> <mi>V</mi> <mrow> <mi>s</mi> <mi>max</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>V</mi> <mrow> <mi>s</mi> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> </mfrac> <mo>,</mo> </mrow>
    Wherein Vs' it is line voltage value VsValue after normalization, VsiBe ith measurement gained line voltage value, VsminIt is to have surveyed The minimum value of the line voltage value obtained, VsmaxIt is the maximum of the line voltage measured;
    The mains current value IsMethod for normalizing be:
    <mrow> <msup> <msub> <mi>I</mi> <mi>s</mi> </msub> <mo>&amp;prime;</mo> </msup> <mo>=</mo> <mfrac> <mrow> <msub> <mi>I</mi> <mrow> <mi>s</mi> <mi>i</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>I</mi> <mrow> <mi>s</mi> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> <mrow> <msub> <mi>I</mi> <mrow> <mi>s</mi> <mi>max</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>I</mi> <mrow> <mi>s</mi> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> </mfrac> <mo>,</mo> </mrow>
    Wherein Is' it is mains current value IsValue after normalization, IsiBe ith measurement gained mains current value, IsminIt is to have surveyed The minimum value of the mains current value obtained, IsmaxIt is the maximum of the mains current measured;
    The power distribution magnitude of voltage VdMethod for normalizing be:
    <mrow> <msup> <msub> <mi>V</mi> <mrow> <mi>d</mi> <mi>i</mi> </mrow> </msub> <mo>&amp;prime;</mo> </msup> <mo>=</mo> <mfrac> <mrow> <msub> <mi>nV</mi> <mrow> <mi>d</mi> <mi>i</mi> </mrow> </msub> <mo>-</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>V</mi> <mrow> <mi>d</mi> <mi>i</mi> </mrow> </msub> </mrow> <mrow> <mi>n</mi> <msqrt> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msup> <mrow> <mo>(</mo> <msub> <mi>V</mi> <mrow> <mi>d</mi> <mi>i</mi> </mrow> </msub> <mo>-</mo> <mfrac> <mn>1</mn> <mi>n</mi> </mfrac> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <mo>(</mo> <msub> <mi>V</mi> <mrow> <mi>d</mi> <mi>i</mi> </mrow> </msub> <mo>)</mo> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> </msqrt> </mrow> </mfrac> </mrow>
    Wherein VdiFor the magnitude of voltage of the power distribution of ith measurement gained, Vdi' be power distribution magnitude of voltage VdiAfter normalization Value, n are the total degree currently measured;
    The current value I of the power distributiondMethod for normalizing is:
    <mrow> <msup> <msub> <mi>I</mi> <mrow> <mi>d</mi> <mi>i</mi> </mrow> </msub> <mo>&amp;prime;</mo> </msup> <mo>=</mo> <mfrac> <mrow> <msub> <mi>nI</mi> <mrow> <mi>d</mi> <mi>i</mi> </mrow> </msub> <mo>-</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>I</mi> <mrow> <mi>d</mi> <mi>i</mi> </mrow> </msub> </mrow> <mrow> <mi>n</mi> <msqrt> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msup> <mrow> <mo>(</mo> <msub> <mi>I</mi> <mrow> <mi>d</mi> <mi>i</mi> </mrow> </msub> <mo>-</mo> <mfrac> <mn>1</mn> <mi>n</mi> </mfrac> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>I</mi> <mrow> <mi>d</mi> <mi>i</mi> </mrow> </msub> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> </msqrt> </mrow> </mfrac> </mrow>
    Wherein IdiFor the current value of the power distribution of ith measurement gained, Idi' be power distribution magnitude of voltage IdiAfter normalization Value;
    The normalized methods of temperature value TEM are:
    <mrow> <msubsup> <mi>TEM</mi> <mi>i</mi> <mo>&amp;prime;</mo> </msubsup> <mo>=</mo> <mfrac> <mn>2</mn> <mi>&amp;pi;</mi> </mfrac> <mi>a</mi> <mi>r</mi> <mi>c</mi> <mi>t</mi> <mi>g</mi> <mrow> <mo>(</mo> <msub> <mi>TEM</mi> <mi>i</mi> </msub> <mo>)</mo> </mrow> </mrow>
    Wherein TEMiFor the temperature value of ith measurement gained, TEMi' it is temperature value TEMiValue after normalization;
    The normalized methods of humidity value HUM are:
    HUMi'=HUMi
    Wherein HUMiFor the humidity value of ith measurement gained, HUMi' it is humidity value HUMiValue after normalization;
    The normalized methods of the leak water value CAP are:
    Wherein CAPiFor the leak water value of ith measurement gained, CAPi' it is CAPiValue after normalization;
    The normalized methods of the smokescope value THK are:
    THKi'=THKi
    Wherein THKiFor the smokescope value of ith measurement gained, THKi' it is THKiValue after normalization;
    Step 200, the magnitude of voltage and current value, the magnitude of voltage of the power distribution and current value, the temperature of the civil power are determined Humidity value, the leak water value and weight shared by the smokescope value;
    Step 300, dynamic environment coefficient of colligation is calculated;
    Step 400, the comparative result of dynamic environment coefficient of colligation and preset value is exported.
  3. 3. dynamic environment monitoring method according to claim 1, it is characterised in that:Dynamic environment is gathered in the step 10 The method of data value be that the data value of dynamic environment is gathered using different types of sensor.
  4. 4. dynamic environment monitoring method according to claim 1, it is characterised in that:Preset value in the step 20 is use Family is specified, and span is to less than or equal to 1 more than or equal to 0.
  5. 5. dynamic environment monitoring method according to claim 1, it is characterised in that:Warning message in the step 30 can Think short message form or buzzer.
  6. 6. dynamic environment monitoring method according to claim 2, it is characterised in that:Dynamic ring is calculated in the step 300 Number of parameters used in the coefficient of colligation of border is to be less than or equal to 8 more than or equal to 1.
  7. 7. dynamic environment monitoring method according to claim 2, it is characterised in that:In the step 200, all weight systems Number sum is 1.
CN201710760270.6A 2017-08-30 2017-08-30 A kind of Room Power environment control method Active CN107368000B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710760270.6A CN107368000B (en) 2017-08-30 2017-08-30 A kind of Room Power environment control method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710760270.6A CN107368000B (en) 2017-08-30 2017-08-30 A kind of Room Power environment control method

Publications (2)

Publication Number Publication Date
CN107368000A true CN107368000A (en) 2017-11-21
CN107368000B CN107368000B (en) 2018-04-20

Family

ID=60311815

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710760270.6A Active CN107368000B (en) 2017-08-30 2017-08-30 A kind of Room Power environment control method

Country Status (1)

Country Link
CN (1) CN107368000B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111176153A (en) * 2019-12-10 2020-05-19 合肥卓瑞信息技术有限公司 Machine room moving ring alarm system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN205563195U (en) * 2016-04-19 2016-09-07 海瑞弗网络能源(深圳)有限公司 Intelligent monitoring system's power environment monitoring all -in -one
CN205959035U (en) * 2016-08-23 2017-02-15 江西硕博科技有限公司 Supervisory systems is synthesized to computer lab power environment
CN106447833A (en) * 2015-08-10 2017-02-22 威海兴达信息科技有限公司 Machine room environment monitoring system
CN206132124U (en) * 2016-10-20 2017-04-26 贵州电网有限责任公司贵阳供电局 Machine room power environment monitoring system
CN106896788A (en) * 2015-12-21 2017-06-27 中国电信股份有限公司 Dynamic environment monitoring devices and methods therefor

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106447833A (en) * 2015-08-10 2017-02-22 威海兴达信息科技有限公司 Machine room environment monitoring system
CN106896788A (en) * 2015-12-21 2017-06-27 中国电信股份有限公司 Dynamic environment monitoring devices and methods therefor
CN205563195U (en) * 2016-04-19 2016-09-07 海瑞弗网络能源(深圳)有限公司 Intelligent monitoring system's power environment monitoring all -in -one
CN205959035U (en) * 2016-08-23 2017-02-15 江西硕博科技有限公司 Supervisory systems is synthesized to computer lab power environment
CN206132124U (en) * 2016-10-20 2017-04-26 贵州电网有限责任公司贵阳供电局 Machine room power environment monitoring system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111176153A (en) * 2019-12-10 2020-05-19 合肥卓瑞信息技术有限公司 Machine room moving ring alarm system

Also Published As

Publication number Publication date
CN107368000B (en) 2018-04-20

Similar Documents

Publication Publication Date Title
US10019892B1 (en) Risk assessing and managing system and related method
CN109815084B (en) Abnormity identification method and device, electronic equipment and storage medium
CN116246407B (en) Agriculture and forestry area fire early warning supervisory systems based on artificial intelligence
US20140058705A1 (en) System and Method for Detecting Abnormal Occurrences
CN112188531B (en) Abnormality detection method, abnormality detection device, electronic apparatus, and computer storage medium
CN114254879B (en) Multi-sensor information fusion type power equipment safety diagnosis method and device
CN113687609A (en) Intelligent monitoring system and monitoring method for Internet of things applied to abnormal environment
CN116513406A (en) Ship intelligent terminal with ship running state information acquisition function
US11934522B2 (en) System and method for detecting malicious activities and anomalies in building systems
CN117148045A (en) Fault studying and judging management system for running state of power distribution network
CN107368000B (en) A kind of Room Power environment control method
CN115664038A (en) Intelligent power distribution operation and maintenance monitoring system for electrical safety management
CN111157045A (en) Artificial intelligence electric line abnormal risk degree monitoring method and system
CN116681307B (en) River four-disorder supervision traceability display method and system based on multi-terminal fusion feedback
CN113032239A (en) Risk prompting method and device, electronic equipment and storage medium
CN116631168A (en) Geological safety monitoring method, device, computer equipment and storage medium
CN114595948A (en) Artificial intelligence-based multi-risk parameter enterprise risk assessment method and system
CN114492994A (en) Power information processing system, method and device based on power big data
CN116935598B (en) Monitoring method and system based on intelligent power distribution of building
CN116307950B (en) Building quality intelligent management system and method based on multivariate information
CN117405177B (en) Cable tunnel harmful gas leakage early warning method, system, equipment and medium
CN114784974B (en) Real-time early warning system of smart power grids
CN117113157B (en) Platform district power consumption fault detection system based on artificial intelligence
CN117094852B (en) Energy monitoring system and method for industrial and commercial energy storage
CN115240428B (en) Tunnel operation abnormality detection method and device, electronic equipment and storage medium

Legal Events

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