CN116799936A - Intelligent monitoring management system based on novel energy storage equipment at user side - Google Patents

Intelligent monitoring management system based on novel energy storage equipment at user side Download PDF

Info

Publication number
CN116799936A
CN116799936A CN202211581832.8A CN202211581832A CN116799936A CN 116799936 A CN116799936 A CN 116799936A CN 202211581832 A CN202211581832 A CN 202211581832A CN 116799936 A CN116799936 A CN 116799936A
Authority
CN
China
Prior art keywords
park
elevator
energy storage
storage equipment
building
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
CN202211581832.8A
Other languages
Chinese (zh)
Other versions
CN116799936B (en
Inventor
王俊
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Grid Smart Energy Co ltd
Original Assignee
Wuhan Youfang Design 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 Wuhan Youfang Design Co ltd filed Critical Wuhan Youfang Design Co ltd
Priority to CN202211581832.8A priority Critical patent/CN116799936B/en
Publication of CN116799936A publication Critical patent/CN116799936A/en
Application granted granted Critical
Publication of CN116799936B publication Critical patent/CN116799936B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Maintenance And Inspection Apparatuses For Elevators (AREA)

Abstract

The invention belongs to the technical field of energy storage equipment monitoring and management, and particularly discloses an intelligent monitoring and management system based on novel energy storage equipment at a user side. According to the invention, the problem of the current lack of management of the power supply condition of public electric equipment such as the elevator under the power failure condition is effectively solved by carrying out elevator power utilization strategy analysis on the appointed park, and the effective supply of electric energy of the elevator under the power failure condition is realized on the premise of not increasing the complexity and cost of elevator installation, so that the use stability of the elevator is effectively ensured, the interference of regional power failure on the travel of high-rise personnel is eliminated, and the travel convenience of the high-rise personnel is ensured.

Description

Intelligent monitoring management system based on novel energy storage equipment at user side
Technical Field
The invention belongs to the technical field of energy storage equipment monitoring and management, and relates to an intelligent monitoring and management system based on novel energy storage equipment at a user side.
Background
The service object of the energy storage equipment installed on the user side is clear, the relatively simple and reliable composition structure ensures that higher-quality electric energy is output, the fluctuation of power grid supply can be effectively relieved, and when the power grid is insufficient in power supply or in the power failure condition, the energy storage equipment can also be used as a standby power supply, the power supply reliability is improved, and effective guarantee is provided for the operation of necessary power equipment such as an elevator in the power failure state, so that the energy storage equipment is required to be monitored and managed.
At present, the monitoring and management of the energy storage equipment at the user side arranged in the park is mainly used for monitoring and managing grid connection of the energy storage equipment, power supply of the energy storage equipment and the like, belongs to an integral management mode, but lacks of managing the power supply condition of public electric equipment such as an elevator under the condition of power failure, and obviously, the problems in the following aspects exist in the prior art: 1. the current public consumer of elevator is generally supplied through the energy storage equipment who settles in the elevator when cutting off the power supply, but has increased elevator installation loaded down with trivial details nature and cost, and the storage power is less, does not carry out reserve power analysis to stand-alone type energy storage equipment, can't guarantee stability and the reliability that public equipment used, also can't guarantee high-rise personnel's trip convenience.
2. When the current energy storage device is used as a standby power supply, the power failure recovery condition is not estimated, the energy storage efficiency and the conversion efficiency of the energy storage device are not combined for analysis, the analysis basis is single and one-sided, the rationality and the referential of the analysis result of the energy storage device supply cannot be ensured, and meanwhile, the stability of the subsequent energy storage device supply cannot be ensured.
3. When the current energy storage equipment is used as a standby power supply, the analysis strength of the condition of insufficient supply is insufficient, namely, the analysis is not combined with the electricity saving of the elevator, the consideration on the aspects of humanization and energy saving is insufficient, and the waste of electric energy in the using process of the elevator is easily caused.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the above background art, an intelligent monitoring management system based on a novel energy storage device at the user side is now provided.
The aim of the invention can be achieved by the following technical scheme: the invention provides an intelligent monitoring management system based on novel energy storage equipment at a user side, which comprises: the park building information extraction module is used for counting the number of buildings in a designated park, extracting the associated information corresponding to each building in the designated park, and numbering each building as 1,2, i, n according to a preset sequence.
And the energy storage equipment monitoring information module is used for extracting relevant monitoring information corresponding to the energy storage equipment from the energy storage equipment management background of the designated park, wherein the relevant monitoring information comprises power charging and discharging information, environment information, current residual electric quantity and accumulated use duration.
And the park power-off recovery evaluation module is used for extracting the current corresponding initial power-off time point and power-off type in the appointed park, predicting the recovery time point of the appointed park, and obtaining the corresponding predicted power-on recovery time point of the appointed park.
And the campus power-off analysis module is used for confirming the operation type time period of the designated park in the expected power-off time period based on the expected power-on recovery time point corresponding to the designated park.
And the park specific electricity utilization strategy confirmation module is used for carrying out electricity utilization strategy analysis based on the operation type time period of the appointed park in the expected power-off time period to obtain the electricity utilization strategy of the elevator in the appointed park and feeding back the electricity utilization strategy to the park elevator electricity utilization control terminal.
The electricity consumption information base is used for storing single operation electricity consumption, single stop electricity consumption and standby electricity consumption in unit time in the load state, storing corresponding maintenance time length of each power-off type in each maintenance time history, and storing elevator conventional operation rules and elevator energy-saving operation rules.
And the park electricity utilization control terminal is used for controlling the operation of each building elevator in the appointed park based on the electricity utilization strategy corresponding to the elevator in the appointed park.
Preferably, the related information comprises the number of floors, the number of elevators, the rated load of the elevators, the accumulated maintenance times, the maintenance frequency, the number of enterprise personnel corresponding to each floor and the historical operation information of each elevator in each operation type time period, wherein each operation type comprises a peak operation type, a conventional operation type and a valley operation type, and the historical operation information comprises the historical average accumulated standby time length, the historical average round trip times, the historical average stop floor number, the historical average stop times, the historical average round trip load, the historical average round trip interval time length and the historical highest round trip interval time length.
The power charging and discharging information comprises accumulated charging cycle times, historical charging information and historical discharging information, wherein the historical charging information is initial electric quantity and cut-off electric quantity corresponding to each historical charging, and the historical discharging information is residual electric quantity corresponding to each historical discharging.
The environment information comprises a monitoring temperature value and a monitoring humidity value corresponding to each time of historical monitoring.
Preferably, the predicting the recovery time point of the designated park comprises the following specific prediction process: based on the current corresponding power-off type of the appointed park, extracting the corresponding maintenance time length of the current corresponding power-off type of the appointed park in each historical maintenance from the power consumption information library, and further obtaining the average maintenance time length corresponding to the current power-off type of the appointed park through average calculation, and marking the average maintenance time length as T;
extracting the highest maintenance time length and the lowest maintenance time length from the maintenance time lengths corresponding to the power-off types corresponding to the appointed park in each maintenance history, and respectively marking the highest maintenance time length and the lowest maintenance time length as T max And T min Further according to the analysis formulaAnd analyzing to obtain maintenance deviation indexes of the power-off types corresponding to the designated parks, wherein DeltaT is a set reference maintenance duration limit difference, and alpha is a set deviation evaluation correction factor.
According to the analysis formulaAnalyzing to obtain a reference maintenance time length T corresponding to the current power failure of the designated park Ginseng radix PX' is a set reference maintenance deviation index;
and obtaining the predicted electricity recovery time point corresponding to the designated park according to the current corresponding initial power-off time point and the reference maintenance time length in the designated park.
Preferably, the electricity utilization strategy analysis is performed, and the specific analysis process comprises the following steps: a1, if the type of the designated park in the expected outage time period is a conventional operation type, recording the elevator operation mode of each building in the designated park as a single elevator operation mode, confirming the corresponding target energy supply elevator of each building, and taking the elevator as an electricity utilization strategy of the elevator in the designated park.
A2, if the type of the designated park in the expected power-off time period is a peak operation type, recording the elevator operation mode of each building in the designated park as a multi-elevator operation mode, simultaneously confirming the expected power consumption corresponding to the designated park in the preset power-off time period, and analyzing the supply fit degree of the energy storage equipment to obtain the supply fit index corresponding to the energy storage equipment.
And A3, comparing the supply fitting index corresponding to the energy storage equipment with the set reference supply fitting index, and if the supply fitting index corresponding to the energy storage equipment is greater than or equal to the reference supply fitting index, extracting the conventional operation rule of the elevator from the information base and taking the conventional operation rule as the electricity utilization strategy of the elevator in the appointed park.
And A4, if the supply fit index corresponding to the energy storage equipment is smaller than the reference supply fit index, analyzing the deviation supply electric quantity corresponding to the energy storage equipment, and analyzing and obtaining the load electricity-saving quantity, the energy-saving load rule, the parking electricity-saving quantity and the energy-saving parking rule corresponding to the designated park based on the associated information corresponding to each building in the designated park.
And A5, analyzing and obtaining the electricity utilization strategy of the elevator in the appointed park based on the load electricity-saving quantity, the energy-saving load rule, the parking electricity-saving quantity and the energy-saving parking rule corresponding to the appointed park.
Preferably, the specific analysis process of the load electricity-saving quantity and the energy-saving load rule corresponding to the designated park is as follows: recording the corresponding deviation supply electric quantity of the energy storage equipment as D Offset of deflection 。
Extracting the number of enterprise personnel corresponding to each floor from the associated information corresponding to each building, confirming the number of expected elevator taking personnel corresponding to each building in a designated park, and marking as R i I represents a building number, i=1, 2, &.. simultaneously extracting the number of elevators and recording as N i 。
Extracting historical average round trip load of each elevator in a peak running type time period from the associated information corresponding to each building, thereby setting the number of elevator single energy-saving load-bearing persons and the elevator single energy-saving load corresponding to each building, and respectively marking as R 0 i And Z 0 i 。
Extracting rated load of elevator from the relevant information corresponding to each building, and marking as Z i And simultaneously extracting the power consumption of single operation in the rated load state from the power consumption information library, and marking as d 0 And then based on an analytical formulaAnalyzing to obtain the load electricity-saving quantity ZD corresponding to the appointed park, wherein phi is a set load evaluation correction factor, and taking the energy-saving single load number corresponding to each building as an energy-saving load rule.
Preferably, the specific analysis process of the parking electricity-saving amount and the energy-saving parking rule corresponding to the designated park is as follows: and extracting the number of floors and the parking electricity-saving quantity from the associated information corresponding to each building, thereby setting the number of planned parking floors and the number of planned parking times.
Extracting power consumption of single stop from power consumption information library and marking as d 1 According to the analysis formulaAnalyzing to obtain the parking electricity consumption corresponding to the designated park, wherein l is a set parking evaluation correction factor, E i The method comprises the steps of representing the number of planned stops corresponding to the ith building in a designated park, and taking the number of planned stops and the number of planned stops as energy-saving stop rules.
Preferably, the identifying the target energy supply elevator corresponding to each building comprises the following specific identifying process: extracting the historical average round trip times and the historical average stop times of each elevator corresponding to the conventional operation type time period from the associated information corresponding to each building in the appointed park, and respectively marking as F ij And K ij J represents an elevator number, j=1, 2.
Extracting accumulated maintenance times and maintenance frequencies corresponding to each elevator from the associated information corresponding to each building in the appointed park, setting elevator operation recommendation weights according to the accumulated maintenance times and the maintenance frequencies, obtaining operation recommendation weight factors corresponding to each elevator in each building, and marking the operation recommendation weight factors as eta ij 。
According to the analysis formulaAnalyzing and obtaining recommended operation indexes TD corresponding to elevators in each building ij ，/>And b1 and b2 are respectively expressed as the set round trip times and the estimated duty ratio weights corresponding to the stop times for the set recommended operation estimation correction factors, and m is expressed as an mth elevator.
Comparing the recommended operation index corresponding to each elevator in each building with the set reference recommended operation index, and if the recommended operation index corresponding to one elevator in a certain building is greater than or equal to the set reference recommended operation index, taking the elevator as an alternative elevator corresponding to the building, so as to count the number of the corresponding alternative elevators in each building.
If the number of the corresponding alternative elevators in a building is one, the alternative elevators are used as target energy supply elevators, if the number of the corresponding alternative elevators in the building is more than one, the recommended weight factors corresponding to the alternative elevators in the building are compared with each other, and the alternative elevator with the largest recommended weight factor is used as the target function elevator corresponding to the building.
Preferably, in the step A2, the confirming that the designated park corresponds to the expected power consumption in the preset power-off time period includes: extracting the number of floors, the historical average round trip interval duration and the historical highest round trip interval duration of each elevator in the peak operation type time period from the corresponding associated information of each building in the appointed park, setting the power consumption influence weight of each building, and recording as
Extracting historical average round trip times, historical average stop times and historical average accumulated standby time corresponding to each elevator in a peak operation type time period from associated information corresponding to each building in a designated park, and respectively marking as F ij ′、K i ′ j And T To be treated ij 。
Extracting standby power consumption in unit time from the power consumption information library and marking as d 2 According to the analysis formulaAnalyzing to obtain the corresponding estimated power consumption D of the designated park in the preset power-off time period Consumption of Gamma is the set power consumption evaluation correction factor.
Preferably, in the step A2, supply compliance analysis is performed on the energy storage device, and a specific analysis process is as follows: and extracting the current residual electric quantity, the electric power charging and discharging information, the environment information and the accumulated use time from the corresponding relevant monitoring information of the energy storage equipment, setting the energy storage equipment supply interference weight factor according to the current residual electric quantity, the electric power charging and discharging information, the environment information and the accumulated use time, and marking the interference weight factor as delta.
Recording the current residual electric quantity corresponding to the energy storage equipment as D The remainder is According to the analysis formulaAnalyzing to obtain corresponding supply fitting index GH, D of energy storage equipment 0 、D 1 The power supply is represented as a set supply floating power, a supply loss power, and Δd is a rated discharge residual power, and μ is a set supply fit evaluation correction factor.
Preferably, the energy storage device is configured to supply the interference weight factor, and the specific configuration process is as follows: the accumulated charge cycle number, the historical charge information and the historical discharge information are extracted from the electric power charge and discharge information corresponding to the energy storage equipment, and further the offset charge number and the offset discharge number are confirmed, so that the supply interference weight corresponding to the electric power charge and discharge of the energy storage equipment is obtained through analysis, and is recorded as lambda 1.
And extracting the monitoring temperature value corresponding to each historical monitoring from the environment information corresponding to the energy storage equipment, and extracting the highest monitoring temperature value and the lowest monitoring temperature value from the monitoring temperature value.
And extracting monitoring humidity values corresponding to each monitoring of histories from environment information corresponding to the energy storage equipment, extracting the lowest humidity value from the monitoring humidity values, calculating average monitoring humidity values corresponding to the energy storage equipment through means, analyzing to obtain supply interference weights corresponding to the placement environment of the energy storage equipment, and recording the supply interference weights as lambda 2.
The accumulated service life time corresponding to the energy storage equipment is marked as T Tired And analyzing to obtain supply interference weight corresponding to the using time of the energy storage equipment, and marking as lambda 3.
According to the analysis formulaAnd (3) analyzing to obtain supply interference weight factors delta, f1, f2 and f3 of the energy storage equipment, wherein the supply interference weight factors delta, f1, f2 and f3 are respectively represented as set power charging and discharging, setting environment and supply interference evaluation duty ratio weights corresponding to the use time length, and e represents a natural constant.
Compared with the prior art, the invention has the following beneficial effects: (1) According to the invention, the problem of the current lack of management of the power supply condition of public electric equipment such as an elevator under the power failure condition is effectively solved by carrying out elevator power utilization strategy analysis on a designated park, and the effective supply of electric energy of the elevator under the power failure condition is realized on the premise of not increasing the complexity and cost of elevator installation, so that the stability and reliability of elevator power utilization are effectively ensured, the interference of regional power failure on the travel of high-rise personnel is eliminated, the travel convenience of the high-rise personnel is ensured, and the delivery progress of high-rise goods in a building is also ensured.
(2) According to the method, the power-off duration prediction is carried out, and the energy storage equipment supply analysis is carried out according to the use information, the maintenance information, the personnel information, the power charging and discharging information of the energy storage equipment, the placement environment and other dimensions of the elevators in each building in the park, so that the problems that the current analysis basis is single and single are avoided, the rationality and the referential of the energy storage equipment supply analysis result are effectively ensured, the stability of the subsequent energy storage equipment supply is effectively ensured, the interference of the power supply section on the operation of the elevators is reduced, and the elevator safety accidents caused by unstable power supply are avoided.
(3) When the power utilization strategy in the peak operation time period is analyzed, the energy-saving analysis is performed, so that the interference of insufficient power supply of the energy storage equipment to the operation of the elevator is effectively eliminated, the humanized level and the skill level in the operation of the elevator are fully combined, the balance between the power supply of the energy storage equipment and the power utilization of the elevator is maintained, and the waste in the use process of the elevator is effectively reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention.
Detailed Description
The foregoing is merely illustrative of the principles of the invention, and various modifications, additions and substitutions for those skilled in the art will be apparent to those having ordinary skill in the art without departing from the principles of the invention or from the scope of the invention as defined in the accompanying claims.
Referring to fig. 1, the invention provides an intelligent monitoring management system based on novel energy storage equipment at a user side, which comprises a park building information extraction module, an energy storage equipment monitoring information module, a park power outage restoration evaluation module, a park power outage analysis module, a park specific power utilization strategy confirmation module, a power utilization information library and a park power utilization control terminal.
Among the above-mentioned, the specific electricity consumption tactics of garden confirms the module and is connected with garden building information extraction module, energy storage equipment monitoring information module, garden outage analysis module, electricity consumption information storehouse and garden electricity consumption control terminal respectively, and the district outage resumes the evaluation module and is connected with district outage analysis module and electricity consumption information storehouse respectively.
The park building information extraction module is used for counting the number of buildings in a designated park, extracting the corresponding association information of each building in the designated park, and numbering each building as 1,2, i, n according to a preset sequence.
Specifically, the related information comprises the number of floors, the number of elevators, the rated load of the elevators, the average accumulated power consumption, the accumulated maintenance times, the maintenance frequency, the number of enterprise personnel corresponding to each floor and the historical operation information of each elevator in each operation type time period, wherein each operation type comprises a peak operation type, a conventional operation type and a valley operation type, and the historical operation information comprises the historical average accumulated standby time, the historical average round trip times, the historical average stop floor number, the historical average stop times, the historical average round trip load, the historical average round trip interval time and the historical highest round trip interval time.
The energy storage equipment monitoring information module is used for extracting relevant monitoring information corresponding to the energy storage equipment from the energy storage equipment management background of the designated park, wherein the relevant monitoring information comprises power charging and discharging information, environment information, current residual electric quantity and accumulated use duration.
Specifically, the power charging and discharging information includes accumulated charging cycle times, historical charging information and historical discharging information, wherein the historical charging information is initial electric quantity and cut-off electric quantity corresponding to each historical charging, and the historical discharging information is residual electric quantity corresponding to each historical discharging.
Still more specifically, the environmental information includes a monitored temperature value and a monitored humidity value corresponding to each historical monitoring.
And the park power-off recovery evaluation module is used for extracting the current corresponding initial power-off time point and power-off type in the appointed park, predicting the recovery time point of the appointed park, and obtaining the predicted power-on recovery time point corresponding to the appointed park.
Understandably, predicting a recovery time point for a given campus, the specific prediction process includes: based on the current corresponding power-off type of the appointed park, extracting the corresponding maintenance time length of the current corresponding power-off type of the appointed park in each historical maintenance from the power consumption information library, and further obtaining the average maintenance time length corresponding to the current power-off type of the appointed park through average calculation, and marking the average maintenance time length as T;
corresponding power-off type from appointed parkExtracting the highest maintenance time length and the lowest maintenance time length from the maintenance time lengths corresponding to each time of history maintenance, and respectively marking as T max And T min Further according to the analysis formulaAnd analyzing to obtain maintenance deviation indexes of the power-off types corresponding to the designated parks, wherein DeltaT is a set reference maintenance duration limit difference, and alpha is a set deviation evaluation correction factor.
According to the analysis formulaAnalyzing to obtain a reference maintenance time length T corresponding to the current power failure of the designated park Ginseng radix PX' is a set reference maintenance deviation index;
and obtaining the predicted electricity recovery time point corresponding to the designated park according to the current corresponding initial power-off time point and the reference maintenance time length in the designated park.
And the campus power-off analysis module is used for confirming the operation type time period of the designated park in the expected power-off time period based on the expected power-on recovery time point corresponding to the designated park.
Understandably, the validation of the operational type time period for a given campus at the expected outage time period is based on: and matching and comparing the expected power-off time period corresponding to the designated park with each operation type time period, and taking the operation type time period as the operation type time period of the designated park in the expected power-off time period if the expected power-off time period corresponding to the designated park is in the operation type time period.
In one particular embodiment, the peak run type time period may be 7:30-9:00,11:30-12:30,17:30-20:30, the off-peak run type time period may be 22:00-5:30, the regular operation type period may be a peak operation type period and periods other than the underestimated operation type period.
And the specific electricity utilization strategy confirmation module is used for carrying out electricity utilization strategy analysis based on the operation type time period of the specified park in the expected power-off time period to obtain the electricity utilization strategy of the elevator in the specified park and feeding back the electricity utilization strategy to the electricity utilization control terminal of the elevator in the park.
Illustratively, the power utilization strategy analysis is performed, and the specific analysis process comprises the following steps: a1, if the type of the designated park in the expected outage time period is a conventional operation type, recording the elevator operation mode of each building in the designated park as a single elevator operation mode, confirming the corresponding target energy supply elevator of each building, and taking the elevator as an electricity utilization strategy of the elevator in the designated park.
Further, the corresponding target energy supply elevator of each building is confirmed, and the specific confirmation process is as follows: a1-1, extracting the historical average round trip times and the historical average stop times of each elevator corresponding to the conventional operation type time period from the associated information corresponding to each building in the appointed park, and respectively marking as F ij And K ij J represents the elevator number, j=1, 2,.. i represents a building number, i=1, 2,...
A1-2, extracting the accumulated maintenance times and maintenance frequencies corresponding to the elevators from the associated information corresponding to each building in the appointed park, setting the elevator operation recommended weight according to the accumulated maintenance times and maintenance frequencies, obtaining the operation recommended weight factor corresponding to each elevator in each building, and marking as eta ij 。
The elevator operation recommended weight is set, and the specific setting process is as follows: the accumulated maintenance times and the maintenance frequency corresponding to the elevators in each building in the appointed park are respectively marked as C ij And P ij ；
According to the analysis formulaAnalyzing and obtaining operation recommendation weight factors eta corresponding to elevators in each building ij A1 and a2 are respectively expressed as a set maintenance frequency and a set operation recommended evaluation duty ratio weight factor corresponding to the maintenance frequency, e is expressed as a natural constant, ω is a set operation recommended evaluation compensation factor, and N i Represents the number of corresponding elevators in the ith building, and m represents the mth elevator.
A1-3 according to the analysis formulaAnalyzing and obtaining recommended operation indexes TD corresponding to elevators in each building ij ，/>And b1 and b2 are respectively expressed as the set round trip times and the estimated duty ratio weights corresponding to the stop times for the set recommended operation estimated correction factors.
The lower the number of repairs and the frequency of repairs, the lower the energy consumption of the elevator, and the more energy-saving the operation.
A1-4, comparing the recommended operation index corresponding to each elevator in each building with a set reference recommended operation index, and if the recommended operation index corresponding to a certain elevator in a certain building is greater than or equal to the set reference recommended operation index, taking the elevator as a corresponding alternative elevator of the building, so as to count the number of the corresponding alternative elevators in each building.
A1-5, if the number of the corresponding alternative elevators in a certain building is one, taking the alternative elevators as target energy supply elevators, if the number of the corresponding alternative elevators in the certain building is more than one, comparing the recommended weight factors corresponding to the alternative elevators in the building with each other, and taking the alternative elevator with the largest recommended weight factor as the target function elevator corresponding to the building.
A2, if the type of the designated park in the expected power-off time period is a peak operation type, recording the elevator operation mode of each building in the designated park as a multi-elevator operation mode, simultaneously confirming the expected power consumption corresponding to the designated park in the preset power-off time period, and analyzing the supply fit degree of the energy storage equipment to obtain the supply fit index corresponding to the energy storage equipment.
Understandably, the specific confirmation process includes: a2-1, extracting the number of floors from the corresponding associated information of each building in the appointed park, setting the power consumption influence weight of each building according to the historical average round trip interval duration and the historical highest round trip interval duration of each elevator in the time period of the peak operation type,and is also denoted as
The specific setting process is as follows: recording the historical highest round trip interval duration and the historical average round trip interval duration of each elevator in each building in a specified park in a peak operation type time period as (T) Spacing of ij ) max And
according to the analysis formulaAnalyzing to obtain the power consumption influence weight of each building>u1 and u2 are respectively represented as a set round trip interval duration deviation, a round trip interval duration maximum value ratio and a corresponding power consumption influence evaluation duty ratio weight, ζ is a set power consumption influence evaluation correction factor, T 0 、k 0 Respectively expressed as a set reference round trip interval duration and a reference round trip interval duration maximum ratio.
A2-2, extracting the historical average round trip times, the historical average stop times and the historical average accumulated standby time corresponding to each elevator in the peak operation type time period from the associated information corresponding to each building in the appointed park, and respectively marking as F ij ′、K i ′ j And T To be treated ij ；
A2-3, extracting single operation power consumption, single stop power consumption and unit time standby power consumption under the rated load state from the power consumption information library, and respectively marking as d 0 、d 1 And d 2 According to the analysis formulaAnalyzing to obtain the corresponding estimated power consumption D of the designated park in the preset power-off time period Consumption of Gamma is set asThe power consumption evaluates the correction factor.
Further, the energy storage device is subjected to supply conformity analysis, and the specific analysis process is as follows: 1) And extracting the current residual electric quantity, the electric power charging and discharging information, the environment information and the accumulated use time from the corresponding relevant monitoring information of the energy storage equipment, setting the energy storage equipment supply interference weight factor according to the current residual electric quantity, the electric power charging and discharging information, the environment information and the accumulated use time, and marking the interference weight factor as delta.
Understandably, the energy storage device is set to supply the interference weight factor, and the specific setting process is as follows: u1 extracts accumulated charge cycle number, historical charge information and historical discharge information from electric power charge-discharge information corresponding to the energy storage equipment, further confirms deviation charge number and deviation discharge number, marks the deviation charge number and the deviation discharge number as PC and PF, marks the accumulated charge cycle number as CX, and uses an analysis formula to obtain the power charge-discharge power supply systemAnd analyzing to obtain supply interference weights lambda 1, s2 and s3 corresponding to the power charging and discharging of the energy storage equipment, wherein the supply interference weights lambda 1, s2 and s3 are respectively expressed as set charging cycles, deviation charging times and power charging and discharging interference evaluation duty ratio weights corresponding to the deviation discharging times, CX ', PC ' and PF ' are respectively expressed as set allowable charging cycles, allowable deviation charging times and allowable deviation discharging times, and tau 1 is a set power charging and discharging evaluation correction factor.
The specific confirmation process of the deviation charging times and the deviation discharging times of the energy storage device includes the steps of extracting initial electric quantity corresponding to each time of historical charging from historical charging information corresponding to the energy storage device, comparing the initial electric quantity with an upper limit value and a lower limit value of a reference charging electric quantity interval corresponding to the energy storage device, and counting the historical charging as the deviation initial charging and counting the deviation initial charging times if the initial electric quantity corresponding to a certain time of historical charging of the energy storage device is lower than the lower limit value or higher than the upper limit value of the reference charging electric quantity interval.
And extracting the cut-off electric quantity corresponding to each time of historical charging from the historical charging information corresponding to the energy storage equipment, comparing the cut-off electric quantity with the set cut-off electric quantity suitable for charging, if the cut-off electric quantity corresponding to a certain time of historical charging of the energy storage equipment is higher than the cut-off electric quantity suitable for charging, recording the historical time of charging as deviation cut-off charging, counting the deviation cut-off charging times, and accumulating the deviation initial charging times and the deviation cut-off charging times to obtain the deviation charging times.
And extracting the residual capacity corresponding to each time of historical discharge from the historical discharge information corresponding to the energy storage equipment, comparing the residual capacity corresponding to each time of historical discharge with the set proper discharge residual capacity, and if the residual capacity corresponding to a certain time of historical discharge of the energy storage equipment is lower than the proper discharge residual capacity, marking the historical time of discharge as offset discharge, thereby counting the offset discharge times.
U2, extracting the monitoring temperature value corresponding to each historical monitoring from the environment information corresponding to the energy storage equipment, and extracting the highest monitoring temperature value and the lowest monitoring temperature value from the monitoring temperature value and respectively marking the highest monitoring temperature value and the lowest monitoring temperature value as w max And w min 。
U3, extracting a monitoring humidity value corresponding to each historical monitoring from environment information corresponding to the energy storage equipment, extracting a lowest humidity value from the monitoring humidity value, and marking the lowest humidity value as h min Meanwhile, the average monitoring humidity value corresponding to the energy storage equipment is obtained through average value calculation and is recorded as h, and an analysis formula is adoptedAnd the supply interference weights lambda 2, s4, s5 and s6 corresponding to the storage equipment placement environments are respectively expressed as the set placement environment assessment duty ratio weights corresponding to the highest temperature difference, the lowest temperature difference and the lowest humidity, w ', h' are respectively expressed as the set storage equipment placement area allowable highest temperature, the allowable lowest temperature and the allowable humidity, and tau 2 is the set placement environment assessment correction factor.
U4, marking the accumulated service life time corresponding to the energy storage equipment as T Tired Analyzing to obtain supply interference weight corresponding to the using time of the energy storage equipment, and marking as lambda 3, wherein,τ3 is the set time length of use estimated correction factor, T' Tired Indicated as a set supply disturbance use period.
U5, according to the analysis formulaAnd analyzing to obtain supply interference weight factors delta, f1, f2 and f3 of the energy storage equipment, wherein the supply interference weight factors delta, f1, f2 and f3 are respectively expressed as set power charging and discharging, setting environment and supply interference evaluation duty ratio weights corresponding to the use time.
2) Recording the current residual electric quantity corresponding to the energy storage equipment as D The remainder is According to the analysis formulaAnalyzing to obtain corresponding supply fitting index GH, D of energy storage equipment 0 、D 1 The power supply is represented as a set supply floating power, a supply loss power, and Δd is a rated discharge residual power, and μ is a set supply fit evaluation correction factor.
According to the embodiment of the invention, the power-off duration prediction is carried out, and the energy storage equipment supply analysis is carried out according to the use information, the maintenance information, the personnel information, the power charging and discharging information of the energy storage equipment, the placement environment and other dimensions of the elevators in each building in the park, so that the problems of relatively single face and single analysis basis at present are avoided, the rationality and the referential of the supply analysis result of the energy storage equipment are effectively ensured, the stability of the supply of the subsequent energy storage equipment is effectively ensured, the interference of the power supply section on the operation of the elevators is reduced, and the elevator safety accidents caused by unstable power supply are avoided.
And A3, comparing the supply fitting index corresponding to the energy storage equipment with the set reference supply fitting index, and if the supply fitting index corresponding to the energy storage equipment is greater than or equal to the reference supply fitting index, extracting the conventional operation rule of the elevator from the information base and taking the conventional operation rule as the electricity utilization strategy of the elevator in the appointed park.
And A4, if the supply fit index corresponding to the energy storage equipment is smaller than the reference supply fit index, analyzing the deviation supply electric quantity corresponding to the energy storage equipment, and analyzing and obtaining the load electricity-saving quantity, the energy-saving load rule, the parking electricity-saving quantity and the energy-saving parking rule corresponding to the designated park based on the associated information corresponding to each building in the designated park.
It should be noted that, the specific analysis process of the deviation supply electric quantity corresponding to the energy storage device is as follows: importing a current residual electric quantity corresponding to the expected electric consumption and the energy storage equipment in the preset power-off time period in the designated park into a formula D Offset of deflection ＝D The remainder is -D Consumption of +D Tonifying device Obtain the deviation supply electric quantity D Tonifying device Supplying power for the set compensation.
Illustratively, the specific analysis process of the load electricity saving amount and the energy saving load rule corresponding to the designated park is as follows: recording the corresponding deviation supply electric quantity of the energy storage equipment as D Offset of deflection 。
Extracting the number of enterprise personnel corresponding to each floor from the associated information corresponding to each building, confirming the number of expected elevator taking personnel corresponding to each building in a designated park, and marking as R i The number of elevators is extracted at the same time.
In one embodiment, the number of expected elevator passengers corresponding to each building in a given campus is determined based on: and extracting the enterprise personnel numbers corresponding to more than three floors from the enterprise personnel numbers corresponding to the floors in each building, and accumulating to obtain the comprehensive enterprise personnel numbers of more than three floors as the expected elevator taking personnel numbers.
The historical average round trip load of each elevator in each peak operation type time period is extracted from the associated information corresponding to each building, so that the number of elevator single energy-saving load-bearing persons and the elevator single energy-saving load-bearing capacity corresponding to each building are set and respectively recorded as R 0 i And Z 0 i 。
Extracting historical average round trip load of each elevator in a peak running type time period from the associated information corresponding to each building, thereby setting the number of elevator single energy-saving load-bearing persons and the elevator single energy-saving load corresponding to each building, and respectively marking as R 0 i And Z 0 i 。
The average value of the historical average round-trip load of each elevator in each building in the time period of the peak operation type is calculated to obtain the average round-trip load of the elevator in each building, and the average round-trip load is used as the single energy-saving load of the elevator corresponding to each building.
It should also be noted that based on the analytical formulaAnd analyzing to obtain the number of single energy-saving load-bearing people of the elevators corresponding to each building.
Extracting rated load of elevator from the relevant information corresponding to each building, and marking as Z i And then based on an analytical formulaAnalyzing to obtain the load electricity-saving quantity ZD corresponding to the appointed park, wherein phi is a set load evaluation correction factor, and taking the energy-saving single load number corresponding to each building as an energy-saving load rule.
Still another exemplary, specific analysis process of the parking electricity-saving amount and the energy-saving parking rule corresponding to the designated park is as follows: and extracting the number of floors and the parking electricity-saving quantity from the associated information corresponding to each building, thereby setting the number of planned parking floors and the number of planned parking times.
The specific setting basis of the number of the planned parking floors is as follows:
the specific setting basis of the planned stop times is that the planned stop times = planned stop floor number x historical average round trip times + the compensation stop times are set.
According to the analysis formulaAnalyzing to obtain the parking electricity consumption corresponding to the designated park, wherein l is a set parking evaluation correction factor, E i The method comprises the steps of representing the number of planned stops corresponding to the ith building in a designated park, and taking the number of planned stops and the number of planned stops as energy-saving stop rules.
And A5, analyzing and obtaining the electricity utilization strategy of the elevator in the appointed park based on the load electricity-saving quantity, the energy-saving load rule, the parking electricity-saving quantity and the energy-saving parking rule corresponding to the appointed park.
It should be noted that, the specific confirmation basis of the electricity utilization strategy of the elevator in the appointed park is obtained by analysis: if the load electricity-saving quantity and the parking electricity-saving quantity corresponding to the appointed park are both larger than the deviation supply electricity quantity corresponding to the energy storage equipment, taking the energy-saving load rule as an electricity utilization strategy of the elevator in the appointed park; if the load electricity saving quantity corresponding to the appointed park is smaller than the deviation supply electricity quantity corresponding to the energy storage equipment and the parking electricity saving quantity is larger than the deviation supply electricity quantity corresponding to the energy storage equipment, taking the energy-saving parking rule as an electricity utilization strategy of the elevator in the appointed park; and if the load electricity-saving quantity and the parking electricity-saving quantity corresponding to the appointed park are smaller than the deviation supply electricity quantity corresponding to the energy storage equipment, extracting the elevator energy-saving operation rule from the information base and taking the elevator energy-saving operation rule as an electricity utilization strategy of the elevator in the appointed park.
According to the embodiment of the invention, the problem that the current lack of management of the power supply condition of public electric equipment such as an elevator under the power failure condition is effectively solved by analyzing the elevator power utilization strategy in the appointed park, and the effective supply of the electric energy of the elevator under the power failure condition is realized on the premise of not increasing the installation complexity and the cost of the elevator, so that the stability and the reliability of the elevator power utilization are effectively ensured, the interference of regional power failure on the travel of high-rise personnel is eliminated, the travel convenience of the high-rise personnel is ensured, and the delivery progress of high-rise goods in a building is also ensured.
When the power utilization strategy in the peak operation time period is analyzed, the energy-saving analysis is carried out, so that the interference of insufficient power supply of the energy storage equipment to the operation of the elevator is effectively eliminated, the humanized level and the skill level in the operation of the elevator are fully combined, the balance between the power supply of the energy storage equipment and the power utilization of the elevator is maintained, and the waste in the use process of the elevator is effectively reduced.
The electricity consumption information library is used for storing single operation power consumption, single stop power consumption and standby power consumption in unit time in the load state, storing corresponding maintenance time length of each power-off type in each maintenance history, and storing elevator conventional operation rules and elevator energy-saving operation rules.
And the park electricity utilization control terminal is used for controlling the operation of each building elevator in the appointed park based on the electricity utilization strategy corresponding to the elevator in the appointed park.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar thereto, by those skilled in the art, without departing from the principles of the invention or beyond the scope of the appended claims.

Claims (10)

1. An intelligent monitoring management system based on novel energy storage equipment of user side, its characterized in that: the system comprises:
the park building information extraction module is used for counting the number of buildings in a designated park, extracting the corresponding association information of each building in the designated park, and numbering each building according to a preset sequence to be 1, 2.
The energy storage equipment monitoring information module is used for extracting relevant monitoring information corresponding to the energy storage equipment from the energy storage equipment management background of the designated park, wherein the relevant monitoring information comprises power charging and discharging information, environment information, current residual electric quantity and accumulated use duration;
the park power-off recovery evaluation module is used for extracting a current corresponding initial power-off time point and power-off type in the appointed park, predicting the recovery time point of the appointed park, and obtaining a predicted power-on recovery time point corresponding to the appointed park;
The campus power-off analysis module is used for confirming the operation type time period of the designated park in the predicted power-off time period based on the predicted power-on recovery time point corresponding to the designated park;
the system comprises a park specific electricity utilization strategy confirmation module, an electricity utilization strategy analysis module and an electricity utilization control terminal, wherein the park specific electricity utilization strategy confirmation module is used for carrying out electricity utilization strategy analysis based on the operation type time period of a designated park in the expected power-off time period to obtain the electricity utilization strategy of an elevator in the designated park and feeding back the electricity utilization strategy to the park elevator electricity utilization control terminal;
the electricity consumption information library is used for storing single operation electricity consumption, single stop electricity consumption and standby electricity consumption in unit time in a rated load state, storing corresponding maintenance time length of each power-off type in each maintenance history, and storing elevator conventional operation rules and elevator energy-saving operation rules;
and the park electricity utilization control terminal is used for controlling the operation of each building elevator in the appointed park based on the electricity utilization strategy corresponding to the elevator in the appointed park.
2. The intelligent monitoring management system based on the novel energy storage equipment at the user side according to claim 1, wherein the intelligent monitoring management system is characterized in that: the related information comprises the number of floors, the number of elevators, the rated load of the elevators, the number of accumulated maintenance times, the maintenance frequency, the number of enterprise personnel corresponding to each floor and historical operation information of each elevator in each operation type time period, wherein each operation type comprises a peak operation type, a conventional operation type and a valley operation type, and the historical operation information comprises historical average accumulated standby time, historical average round trip times, historical average stop floor number, historical average stop times, historical average round trip load, historical average round trip interval time and historical highest round trip interval time;
The power charging and discharging information comprises accumulated charging cycle times, historical charging information and historical discharging information, wherein the historical charging information is initial electric quantity and cut-off electric quantity corresponding to each historical charging, and the historical discharging information is residual electric quantity corresponding to each historical discharging; the environment information comprises a monitoring temperature value and a monitoring humidity value corresponding to each time of historical monitoring.
3. The intelligent monitoring management system based on the novel energy storage equipment at the user side according to claim 1, wherein the intelligent monitoring management system is characterized in that: the specific prediction process for predicting the recovery time point of the designated park comprises the following steps:
based on the current corresponding power-off type of the appointed park, extracting the corresponding maintenance time length of the current corresponding power-off type of the appointed park in each historical maintenance from the power consumption information library, and further obtaining the average maintenance time length corresponding to the current power-off type of the appointed park through average calculation, and marking the average maintenance time length as T;
extracting the highest maintenance time length and the lowest maintenance time length from the maintenance time lengths corresponding to the power-off types corresponding to the appointed park in each maintenance history, and respectively marking the highest maintenance time length and the lowest maintenance time length as T max And T min Further according to the analysis formulaAnalyzing to obtain maintenance deviation indexes of the power-off types corresponding to the designated parks, wherein DeltaT is a set reference maintenance duration limit difference, and alpha is a set deviation evaluation correction factor;
According to the analysis formulaAnalyzing to obtain a reference maintenance time length T corresponding to the current power failure of the designated park Ginseng radix PX' is a set reference maintenance deviation index;
and obtaining the predicted electricity recovery time point corresponding to the designated park according to the current corresponding initial power-off time point and the reference maintenance time length in the designated park.
4. The intelligent monitoring management system based on the novel energy storage equipment at the user side according to claim 2, wherein the intelligent monitoring management system is characterized in that: the specific analysis process comprises the following steps of:
a1, if the type of the designated park in the expected outage time period is a conventional operation type, marking the elevator operation mode of each building in the designated park as a single elevator operation mode, confirming the corresponding target energy supply elevator of each building, and taking the elevator as an electricity utilization strategy of the elevator in the designated park;
a2, if the type of the designated park in the expected power-off time period is a peak operation type, marking the elevator operation mode of each building in the designated park as a multi-elevator operation mode, simultaneously confirming the expected power consumption corresponding to the designated park in the preset power-off time period, and analyzing the supply fit degree of the energy storage equipment to obtain a supply fit index corresponding to the energy storage equipment;
A3, comparing the supply fitting index corresponding to the energy storage equipment with a set reference supply fitting index, and if the supply fitting index corresponding to the energy storage equipment is greater than or equal to the reference supply fitting index, extracting the conventional operation rule of the elevator from the information base and taking the conventional operation rule as an electricity utilization strategy of the elevator in the appointed park;
a4, if the supply fit index corresponding to the energy storage equipment is smaller than the reference supply fit index, analyzing the deviation supply electric quantity corresponding to the energy storage equipment, and analyzing and obtaining the load electricity-saving quantity, the energy-saving load rule, the parking electricity-saving quantity and the energy-saving parking rule corresponding to the designated park based on the associated information corresponding to each building in the designated park;
and A5, analyzing and obtaining the electricity utilization strategy of the elevator in the appointed park based on the load electricity-saving quantity, the energy-saving load rule, the parking electricity-saving quantity and the energy-saving parking rule corresponding to the appointed park.
5. The intelligent monitoring and management system based on the novel energy storage equipment at the user side according to claim 4, wherein the intelligent monitoring and management system is characterized in that: the specific analysis process of the load electricity-saving quantity and the energy-saving load rule corresponding to the appointed park is as follows:
recording the corresponding deviation supply electric quantity of the energy storage equipment as D Offset of deflection ；
Extracting the number of enterprise personnel corresponding to each floor from the associated information corresponding to each building, confirming the number of expected elevator taking personnel corresponding to each building in a designated park, and marking as R i I represents a building number, i=1, 2, &.. simultaneously extracting the number of elevators and recording as N i ；
Extracting historical average round trip load of each elevator in a peak running type time period from the associated information corresponding to each building, thereby setting the number of elevator single energy-saving load-bearing persons and the elevator single energy-saving load corresponding to each building, and respectively marking as R 0 i And Z 0 i ；
Extracting rated load of elevator from the relevant information corresponding to each building, and marking as Z i At the same time from the electricity consumption information baseExtracting the power consumption of single operation under the rated load state and recording as d 0 And then based on an analytical formulaAnalyzing to obtain the load electricity-saving quantity ZD corresponding to the appointed park, wherein phi is a set load evaluation correction factor, and taking the energy-saving single load number corresponding to each building as an energy-saving load rule.
6. The intelligent monitoring and management system based on the novel energy storage equipment at the user side according to claim 5, wherein the intelligent monitoring and management system is characterized in that: the specific analysis process of the parking electricity-saving quantity and the energy-saving parking rule corresponding to the appointed park is as follows:
extracting the number of floors and the parking electricity consumption from the associated information corresponding to each building, thereby setting the number of planned parking floors and the number of planned parking times;
extracting power consumption of single stop from power consumption information library and marking as d 1 According to the analysis formulaAnalyzing to obtain the parking electricity consumption corresponding to the designated park, wherein l is a set parking evaluation correction factor, E i The method comprises the steps of representing the number of planned stops corresponding to the ith building in a designated park, and taking the number of planned stops and the number of planned stops as energy-saving stop rules.
7. The intelligent monitoring and management system based on the novel energy storage equipment at the user side according to claim 6, wherein the intelligent monitoring and management system is characterized in that: the specific confirmation process of confirming the target energy supply elevator corresponding to each building comprises the following steps:
extracting the historical average round trip times and the historical average stop times of each elevator corresponding to the conventional operation type time period from the associated information corresponding to each building in the appointed park, and respectively marking as F ij And K ij J represents an elevator number, j=1, 2,..;
extracting each electricity from the corresponding associated information of each building in the appointed parkThe accumulated maintenance times and maintenance frequency corresponding to the elevator are set, the elevator operation recommended weight is set according to the accumulated maintenance times and maintenance frequency, the operation recommended weight factor corresponding to each elevator in each building is obtained, and the operation recommended weight factor is recorded as eta ij ；
According to the analysis formulaAnalyzing and obtaining recommended operation indexes TD corresponding to elevators in each building ij ，/>B1 and b2 are respectively expressed as set round trip times and estimated duty ratio weights corresponding to stop times for the set recommended operation estimation correction factors, and m is expressed as an mth elevator;
Comparing the recommended operation index corresponding to each elevator in each building with a set reference recommended operation index, and if the recommended operation index corresponding to one elevator in a certain building is greater than or equal to the set reference recommended operation index, taking the elevator as an alternative elevator corresponding to the building, so as to count the number of the corresponding alternative elevators in each building;
if the number of the corresponding alternative elevators in a building is one, the alternative elevators are used as target energy supply elevators, if the number of the corresponding alternative elevators in the building is more than one, the recommended weight factors corresponding to the alternative elevators in the building are compared with each other, and the alternative elevator with the largest recommended weight factor is used as the target function elevator corresponding to the building.
8. The intelligent monitoring and management system based on the novel energy storage equipment at the user side according to claim 7, wherein the intelligent monitoring and management system is characterized in that: in the step A2, the power consumption of the designated park is expected to be corresponding to the preset power-off time period, and the specific confirmation process comprises the following steps:
extracting the number of floors, the historical average round trip interval duration and the historical highest round trip interval duration of each elevator in the peak operation type time period from the corresponding associated information of each building in the appointed park, setting the power consumption influence weight of each building, and recording Is that
Extracting historical average round trip times, historical average stop times and historical average accumulated standby time corresponding to each elevator in a peak operation type time period from associated information corresponding to each building in a designated park, and respectively marking as F ij ′、K i ′ j And T To be treated ij ；
Extracting standby power consumption in unit time from the power consumption information library and marking as d 2 According to the analysis formulaAnalyzing to obtain the corresponding estimated power consumption D of the designated park in the preset power-off time period Consumption of Gamma is the set power consumption evaluation correction factor.
9. The intelligent monitoring and management system based on the novel energy storage equipment at the user side according to claim 6, wherein the intelligent monitoring and management system is characterized in that: in the step A2, supply conformity analysis is carried out on the energy storage equipment, and the specific analysis process is as follows:
extracting current residual electric quantity, electric power charging and discharging information, environment information and accumulated use time from relevant monitoring information corresponding to the energy storage equipment, setting an interference weight factor supplied by the energy storage equipment according to the current residual electric quantity, the electric power charging and discharging information, the environment information and the accumulated use time, and marking the interference weight factor as delta;
recording the current residual electric quantity corresponding to the energy storage equipment as D The remainder is According to the analysis formulaAnalyzing to obtain corresponding supply fitting index GH, D of energy storage equipment 0 、D 1 The power supply is represented as a set supply floating power, a supply loss power, and Δd is a rated discharge residual power, and μ is a set supply fit evaluation correction factor.
10. The intelligent monitoring and management system based on the novel energy storage equipment at the user side according to claim 8, wherein the intelligent monitoring and management system is characterized in that: the energy storage equipment is set to supply interference weight factors, and the specific setting process is as follows:
extracting accumulated charge cycle times, historical charge information and historical discharge information from the electric power charge-discharge information corresponding to the energy storage equipment, further confirming deviation charge times and deviation discharge times, analyzing to obtain supply interference weights corresponding to the electric power charge-discharge of the energy storage equipment, and marking as lambda 1;
extracting a monitoring temperature value corresponding to each historical monitoring from environment information corresponding to the energy storage equipment, and extracting a highest monitoring temperature value and a lowest monitoring temperature value from the monitoring temperature value;
extracting monitoring humidity values corresponding to each monitoring of histories from environment information corresponding to the energy storage equipment, extracting the lowest humidity value from the monitoring humidity values, calculating average monitoring humidity values corresponding to the energy storage equipment through means, analyzing to obtain supply interference weights corresponding to the placement environment of the energy storage equipment, and marking the supply interference weights as lambda 2;
the accumulated service life time corresponding to the energy storage equipment is marked as T Tired Analyzing to obtain supply interference weight corresponding to the using time of the energy storage equipment, and marking as lambda 3;
according to the analysis formula And (3) analyzing to obtain supply interference weight factors delta, f1, f2 and f3 of the energy storage equipment, wherein the supply interference weight factors delta, f1, f2 and f3 are respectively represented as set power charging and discharging, setting environment and supply interference evaluation duty ratio weights corresponding to the use time length, and e represents a natural constant.
CN202211581832.8A 2022-12-07 2022-12-07 Intelligent monitoring management system based on novel energy storage equipment at user side Active CN116799936B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211581832.8A CN116799936B (en) 2022-12-07 2022-12-07 Intelligent monitoring management system based on novel energy storage equipment at user side

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211581832.8A CN116799936B (en) 2022-12-07 2022-12-07 Intelligent monitoring management system based on novel energy storage equipment at user side

Publications (2)

Publication Number Publication Date
CN116799936A true CN116799936A (en) 2023-09-22
CN116799936B CN116799936B (en) 2024-06-18

Family

ID=88045049

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211581832.8A Active CN116799936B (en) 2022-12-07 2022-12-07 Intelligent monitoring management system based on novel energy storage equipment at user side

Country Status (1)

Country Link
CN (1) CN116799936B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118378794A (en) * 2024-06-24 2024-07-23 山东睿达电子科技有限责任公司 Elevator inspection procedure optimization method

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3561571A (en) * 1965-11-05 1971-02-09 Dover Corp Elevator group supervisory control system
KR19990010926A (en) * 1997-07-19 1999-02-18 이종수 Intelligent Elevator Remote Monitoring Method and Device with Distributed Structure
KR20060059874A (en) * 2005-11-01 2006-06-02 미쓰비시덴키 가부시키가이샤 Elevator control device
JP2009190821A (en) * 2008-02-13 2009-08-27 Hitachi Building Systems Co Ltd Maintenance operation device of elevator
JP2010070380A (en) * 2008-09-22 2010-04-02 Toshiba Elevator Co Ltd Group supervisory operation control system for elevator
KR101904831B1 (en) * 2018-04-25 2018-12-05 이헌 Intellgent building management system and method for controlling thereof
CN109976175A (en) * 2019-03-21 2019-07-05 柯利达信息技术有限公司 A kind of industrial zone intellectualized management system
CN111071892A (en) * 2019-12-25 2020-04-28 深圳技术大学 Elevator power failure fault monitoring system and method
CN111099461A (en) * 2018-10-26 2020-05-05 深圳市旺龙智能科技有限公司 Elevator control method and system for intelligently improving reliability of robot taking elevator
CN111847164A (en) * 2020-07-02 2020-10-30 广州广日电梯工业有限公司 Method and system for monitoring fault recovery condition of elevator
CN112383581A (en) * 2020-09-28 2021-02-19 松立控股集团股份有限公司 Front-end management system of smart community
CN115063954A (en) * 2022-06-01 2022-09-16 武汉誉钱乐房地产有限公司 Intelligent fire-fighting on-line monitoring wireless alarm service system based on Internet of things
CN115117966A (en) * 2022-06-30 2022-09-27 深圳市旭联信息技术有限公司 Intelligent detection management method and system based on energy storage device
CN115186849A (en) * 2022-08-04 2022-10-14 成都企茂达电气设备有限公司 Large-scale industrial equipment operation regular maintenance on-line monitoring analysis processing system

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3561571A (en) * 1965-11-05 1971-02-09 Dover Corp Elevator group supervisory control system
KR19990010926A (en) * 1997-07-19 1999-02-18 이종수 Intelligent Elevator Remote Monitoring Method and Device with Distributed Structure
KR20060059874A (en) * 2005-11-01 2006-06-02 미쓰비시덴키 가부시키가이샤 Elevator control device
JP2009190821A (en) * 2008-02-13 2009-08-27 Hitachi Building Systems Co Ltd Maintenance operation device of elevator
JP2010070380A (en) * 2008-09-22 2010-04-02 Toshiba Elevator Co Ltd Group supervisory operation control system for elevator
KR101904831B1 (en) * 2018-04-25 2018-12-05 이헌 Intellgent building management system and method for controlling thereof
CN111099461A (en) * 2018-10-26 2020-05-05 深圳市旺龙智能科技有限公司 Elevator control method and system for intelligently improving reliability of robot taking elevator
CN109976175A (en) * 2019-03-21 2019-07-05 柯利达信息技术有限公司 A kind of industrial zone intellectualized management system
CN111071892A (en) * 2019-12-25 2020-04-28 深圳技术大学 Elevator power failure fault monitoring system and method
CN111847164A (en) * 2020-07-02 2020-10-30 广州广日电梯工业有限公司 Method and system for monitoring fault recovery condition of elevator
CN112383581A (en) * 2020-09-28 2021-02-19 松立控股集团股份有限公司 Front-end management system of smart community
CN115063954A (en) * 2022-06-01 2022-09-16 武汉誉钱乐房地产有限公司 Intelligent fire-fighting on-line monitoring wireless alarm service system based on Internet of things
CN115117966A (en) * 2022-06-30 2022-09-27 深圳市旭联信息技术有限公司 Intelligent detection management method and system based on energy storage device
CN115186849A (en) * 2022-08-04 2022-10-14 成都企茂达电气设备有限公司 Large-scale industrial equipment operation regular maintenance on-line monitoring analysis processing system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
刘练;李林;丁明;虞海彪;曹军;: "面向园区的光储型微电网设计与应用", 电力***保护与控制, no. 03, 1 February 2020 (2020-02-01), pages 1341 - 1347 *
和思铭;徐文彬;高嵩;宋正勋;胡贞;: "基于MB90092的电梯楼层监视器设计", 电子制作, no. 11, 1 November 2007 (2007-11-01), pages 18 - 20 *
林元海;吴允平;王廷银;苏伟达;: "基于信息终端的电梯健康实时监测***研究", 电子测量技术, no. 08, 15 August 2016 (2016-08-15), pages 159 - 162 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118378794A (en) * 2024-06-24 2024-07-23 山东睿达电子科技有限责任公司 Elevator inspection procedure optimization method

Also Published As

Publication number Publication date
CN116799936B (en) 2024-06-18

Similar Documents

Publication Publication Date Title
CN108879875A (en) A kind of charging pile system of battery charge state charge control
CN116799936B (en) Intelligent monitoring management system based on novel energy storage equipment at user side
CN103606967B (en) A kind of dispatching method realizing electric power system robust and run
JP5095495B2 (en) Electric power system and control method thereof
CN106972534A (en) A kind of photovoltaic charge station energy schedule management method
US20140172183A1 (en) Power apparatus
WO2014101278A2 (en) Effective evaluation method for operation of smart electricity distribution network
CN104636987A (en) Dispatching method for power network load with extensive participation of air conditioner loads of institutional buildings
CN110768244B (en) Energy management system and control method thereof
CN104820868B (en) A kind of scheduling methods of exhibiting being predicted based on wind-powered electricity generation probability
CN111509745B (en) Energy storage system EMS discharge control method for solving problem of transformer over-capacity
CN111638692B (en) Intelligent park management system
US20140091629A1 (en) Power supply device and method of controlling power supply
CN113036793B (en) Load response scheduling method and system based on artificial intelligent charging pile
CN109017389A (en) A kind of charging pile system of battery pack balancing control
CN111917113B (en) Power grid load allowance calculation system and method and charging pile access power distribution method
CN108805423A (en) A kind of power distribution network methods of risk assessment based on distributed new access
CN113189437A (en) Detection method for power-off and power-on fault areas of transformer area
CN107732947A (en) A kind of demand response system and method for energy internet
CN112865150A (en) Tunnel energy-saving power supply control method based on peak clipping and valley filling strategies
CN206023380U (en) Mobile power supply management system based on Internet technology
JP2016134952A (en) Power control apparatus and charge/discharge control method
CN111959335A (en) Charging pile power on-off automatic control system and method
CN210327138U (en) Intelligent UPS power cabinet special for elevator
CN115360740B (en) Community electric bicycle energy control system

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
TA01 Transfer of patent application right

Effective date of registration: 20240527

Address after: 518000 14 / F, building 13, qinchengda paradise, District 22, lingzhiyuan community, Xin'an street, Bao'an District, Shenzhen City, Guangdong Province

Applicant after: Shenzhen grid Smart Energy Co.,Ltd.

Country or region after: China

Address before: 430070 Hubei Province, Wuhan city Hongshan District Luoshi Road No. 517

Applicant before: Wuhan Youfang Design Co.,Ltd.

Country or region before: China

TA01 Transfer of patent application right
GR01 Patent grant
GR01 Patent grant