CN111476385A - Building facility maintenance supervisory systems based on BIM - Google Patents
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Abstract
The invention discloses a BIM-based building facility maintenance supervision system, which comprises an acquisition module, an analysis module, a monitoring module, a processor, an alarm, a database, a timing unit and intelligent equipment, wherein the acquisition module is used for acquiring facility working information, the facility working information comprises working duration data, fault frequency data, temperature data and power-on and power-off frequency data, the working duration data, the fault frequency data, the temperature data and the power-on and power-off frequency data are transmitted to the analysis module through the processor, the analysis module receives the facility working duration data, the facility fault frequency data, the facility temperature data and the power-on and power-off frequency data, the invention analyzes damage factors of facilities through the arrangement of the acquisition module and the analysis module, calculates the damage degree, the average damage coefficient and the discrete degree of the damage coefficient of the facilities, and a fault judgment module judges the use of the facilities according to the analysis result of the analysis, and the safety analysis of the facility is increased, so that the safety of the facility is better maintained, and the working efficiency is improved.
Description
Technical Field
The invention relates to the technical field of maintenance supervision, in particular to a building facility maintenance supervision system based on BIM.
Background
The building refers to an asset formed by artificial construction, belongs to the category of fixed assets, and comprises two categories of houses and buildings. A house is an engineered building for people to live, work, study, produce, manage, entertain, store goods, and perform other social activities. The building is distinguished from a building, the building refers to engineering buildings except a house, such as an enclosing wall, a road, a dam, a water well, a tunnel, a water tower, a bridge, a chimney and the like, and the facility is a Chinese vocabulary and refers to arrangement; the maintenance refers to the maintenance of a mechanism, an organization, a building and the like which are established for certain needs and protected from external damage. For example, protective facilities are provided around the place where people live, around the stocked livestock, and around other important objects and places to prevent external invasion. Maintenance is also one of the communication terms, and then maintenance of the construction equipment is characterized in that the construction equipment is detected and repaired regularly to avoid damage of the construction equipment.
A notice number is CN109801480A intelligent floor monitoring management system based on BIM, this intelligent floor monitoring management system based on BIM, its intelligent monitoring management system that can with administrator and user interactive, can solve the intelligent analytic system in emergent management, energy optimization, three aspects of floor maintenance, however, this intelligent floor monitoring management system based on BIM, can't realize the maintenance to the building facility, and, can't carry out accurate analysis and calculation to the degree of loss of facility, simultaneously, can't carry out the timing monitoring to the inside temperature condition of facility, more can't set for different time according to different ambient temperature and carry out the timing monitoring, for this reason, we propose a building facility maintenance supervisory systems based on BIM.
Disclosure of Invention
The invention aims to provide a BIM-based building facility maintenance supervision system, which analyzes facility working information acquired by an acquisition module through an analysis module to obtain a damage coefficient of the facility, increases safety analysis on the facility, thereby better maintaining the safety of the facility, saving time and improving working efficiency.
The technical problem to be solved by the invention is as follows:
(1) how to analyze damage factors of the facility through the arrangement of the acquisition module and the analysis module, and calculate the damage degree, the average damage coefficient and the discrete degree of the damage coefficient of the facility, and the fault judgment module judges the use of the facility according to the analysis result of the analysis module so as to solve the problem that the damage degree of the facility is difficult to be accurately analyzed in the prior art;
(2) how to analyze the current, the voltage and the resistance inside the facility through the arrangement of the monitoring module, calculate the amount of heat energy generated inside the facility, calculate the actual storage factor which does not generate heat and the influence factor of the generated heat on the facility, and solve the problem that the accurate calculation of the data inside the facility is difficult in the prior art;
(3) how to accurately calculate the temperature change of the facility during working through the analysis and calculation operation of the analysis module, and adjust the timing monitoring time of the internal temperature of the facility according to the external temperature condition so as to solve the problem that the timing monitoring of the temperature of the facility is difficult to realize in the prior art.
The purpose of the invention can be realized by the following technical scheme: a BIM-based building facility maintenance supervision system comprises an acquisition module, an analysis module, a monitoring module, a fault judgment module, an emergency module, a processor, an alarm, a database, a timing unit and intelligent equipment;
the system comprises an acquisition module, an analysis module and a fault judgment module, wherein the acquisition module is used for acquiring facility working information which comprises working time length data, fault frequency data, temperature data and power on and power off frequency data and transmitting the working time length data, the fault frequency data, the temperature data and the power on and power off frequency data to the analysis module through a processor, and the analysis module is used for analyzing the facility working time length data, the facility fault frequency data, the facility temperature data and the power on and power off frequency data to obtain an average damage coefficient and a discrete degree of the damage coefficient and transmitting the discrete degree to the fault judgment module;
the fault judgment module is used for judging the average damage coefficient and the discrete degree of the damage coefficient to obtain a damage command, a detection command and a sound signal, transmitting the damage command to the alarm and the emergency module, transmitting the detection command to the monitoring module and transmitting the sound signal to the intelligent equipment;
the alarm gives out a damage alarm after receiving a damage command, the emergency module stops the operation of the facility after receiving the damage command, the monitoring module is used for monitoring the internal operation information of the facility, the internal operation information comprises current data, voltage data, resistance data, time data and internal temperature data, monitoring and analyzing operation is carried out according to the internal operation information, actual heat generation storage factors and heat generation influence factors on the facility are obtained, and the actual heat generation storage factors and the heat generation influence factors are transmitted to the analysis module;
the analysis module is also used for carrying out analysis calculation operation on the maximum temperature reaching time of the facility to obtain the actually required time and transmitting the actually required time to the timing unit;
the timing unit is after receiving actual required time, begins to count down promptly to sending the monitoring command to monitoring module when the count down is about to end, monitoring module monitors the facility temperature once more, and compares the data after monitoring with the highest outside temperature, specifically does:
h1: when the difference value between the re-monitored temperature and the highest external temperature is less than or equal to M, respectively sending a replacement signal to the emergency module and the alarm, sending a replacement alarm when the alarm receives the replacement signal, stopping the facility work after the emergency module receives the replacement signal, and replacing the standby facility for re-operation;
h2: when the difference between the re-monitored temperature and the highest external temperature is larger than M, signal maintenance signals are respectively sent to the emergency module and the alarm, the alarm sends out maintenance alarm when receiving the maintenance signals, the emergency module stops the operation of the facilities after receiving the maintenance signals, switches to the standby facilities for re-operation, and carries out maintenance and repair on the stopped facilities.
As a further improvement of the invention: the specific operation process of the analysis operation is as follows:
the method comprises the following steps: acquiring temperature data of each facility in operation in a period of time, and marking the temperature data as Qhi, wherein h is 1, 2, 3.. n, i is 1, 2, 3.. m;
step two: acquiring working time length data of each facility in each day in one period, and marking the working time length data as Whi, wherein h is 1, 2, 3.. n, i is 1, 2, 3.. 10, and Qhi corresponds to Whi one by one;
step three: acquiring failure frequency data of each facility in each day in one period, and marking the data as Ehi, wherein h is 1, 2, 3.. n, i is 1, 2, 3.. 10, and Qhi corresponds to Ehi one by one;
step four: acquiring startup and shutdown frequency data of each facility in each day in one period, and marking the data as Rhi, h1, 2, 3.. n, i 1, 2, 3.. m, wherein Qhi, Ehi, Whi and Rhi are in one-to-one correspondence;
step five: setting the influence ratios of the service lives of the facilities corresponding to the first to fourth steps Qhi, Ehi, Whi and Rhi, respectively marked as q, w, e and r, and calculating the damage degree of the facilities by using the influence ratios and Qhi, Ehi, Whi and Rhi, wherein Thi is represented as the damage degree of the facilities, and q + w + e + r is 1;
step six: firstly according to the formula
i 1, 2, 3.. m to obtain the average damage coefficient of each facility in each day in a period of time, and then according to a formula
i 1, 2, 3.. m to determine the distance of the damage factor of each facility in each day during a period of timeDegree of scattering.
As a further improvement of the invention: the specific operation process of the judgment operation is as follows:
s1: setting preset values y and u of the average damage coefficient and the dispersion degree of the damage coefficient, and comparing the preset values y and u with Ui and Yi, wherein the preset values y and u are specifically as follows:
s 1: when Ui is more than or equal to u and Yi is more than or equal to y, judging that the equipment is seriously damaged and needs to be replaced, and generating a facility replacement signal;
s 2: when Ui is more than or equal to u and Yi is less than y, judging that the equipment is damaged and needs to be overhauled, and generating a facility overhaul signal;
s 3: when Ui is less than u and Yi is more than or equal to y, judging that the equipment has a fault and needs to be checked, and generating a facility checking signal;
s 4: when Ui is less than u and Yi is less than y, the equipment is judged to be slightly damaged without maintenance, and a signal that the facility is intact is generated;
s2: and acquiring a facility replacement signal, a facility overhaul signal, a facility inspection signal and a facility sound signal in the s1-s4, transmitting the facility replacement signal, the facility inspection signal and the facility sound signal to a signal identification unit in the fault judgment module, converting the facility replacement signal into a replacement command when the identification unit identifies the facility replacement signal, transmitting the replacement command to the alarm and the emergency module respectively, converting the facility inspection signal into a detection command when the identification unit identifies the facility overhaul signal and the facility inspection signal, transmitting the detection command to the monitoring module, and transmitting the sound signal to the intelligent device when the identification unit identifies the sound signal.
As a further improvement of the invention: the specific operation process of the monitoring and analyzing operation comprises the following steps:
k1, acquiring current data, voltage data, resistance data, time data and internal temperature data, and sequentially marking the data as D L o, DYo, DZo, SJo and NWo, wherein o is 1, 2, 3.... cndot, and D L o, DYo, DZo, SJo and NW are in one-to-one correspondence;
k2, acquiring current data, voltage data and resistance data, and substituting the current data, the voltage data and the resistance data into a calculation formula Qo-D L o2DYo and DZo, wherein Qo represents the heat generated during current operation;
k3: acquiring time data SJo and the heat Qo generated in the above operation, and bringing it into the calculation formula
Calculating the sum of the generated heat;
k4: acquiring the total and internal temperature data of the generated heat and substituting the data into a calculation formula
QGeneral assembly*f＝PNWoThereby obtaining
Wherein f is expressed as a heat generation actual storage factor, and the temperature data Qhi of each facility in the step one during working is obtained and is taken into the calculation formula P together with the total temperature dataNWog-Qhi, thereby obtaining g-Qhi/PNWoWherein g is expressed as an influence factor of the generated heat on the facility.
As a further improvement of the invention: the specific operation process of the analysis and calculation operation comprises the following steps:
g1, acquiring maximum external temperature data, initial current data, initial voltage data and initial resistance data of the facility, and sequentially marking the data as ZGk, C L k, CYk and CZk, wherein k is 1, 2, 3.... I;
g2: the maximum external temperature data of the facility, the actual heat generation conservation factor and the influence factor of the generated heat on the facility are brought into the calculation formula
Wherein CR is expressed as actual operating heat data;
g3: the initial current data, initial voltage data and initial resistance data are brought into a calculation formula together with actual operation heat data
Wherein T isFruit of Chinese wolfberryExpressed as the time actually required for the temperature to rise to the maximum external temperature, and transmitted to the timing unit；
And G4, simultaneously, acquiring temperature data of the current day through the monitoring module, calibrating the temperature data into DWD, setting a temperature preset value range B, detecting according to the time when DWD ∈ B is detected, increasing A1 seconds to detect at the time when DWD is less than B, and shortening A2 seconds to detect when DWD is more than B, wherein the detection is carried out at the time earlier than j seconds within the calibration time, and A1 and A2 are preset values.
The invention has the beneficial effects that:
(1) the acquisition module acquires the working information of the facility and transmits the working information to the analysis module through the processor, the analysis module is used for analyzing and operating the working time length data of the facility, the failure frequency data of the facility, the temperature data of the facility and the on-off frequency data of the facility to obtain an average damage coefficient and the discrete degree of the damage coefficient, and transmits the average damage coefficient and the discrete degree of the damage coefficient to a fault judgment module which judges the average damage coefficient and the discrete degree of the damage coefficient, the damage factors of the facilities are analyzed, the damage degree, the average damage coefficient and the discrete degree of the damage coefficient of the facilities are calculated, the fault judgment module judges the use of the facilities according to the analysis result of the analysis module, and the safety analysis of the facilities is increased, so that the safety of the facilities is maintained better, the time is saved, and the working efficiency is improved.
(2) The damage command is transmitted to the alarm and the emergency module, the detection command is transmitted to the monitoring module, the sound signal is transmitted to the intelligent device, the alarm gives out a damage alarm after receiving the damage command, the emergency module stops the operation of the facility after receiving the damage command, the monitoring module monitors the internal operation information of the facility, the internal operation information comprises current data, voltage data, resistance data, time data and internal temperature data, monitoring analysis operation is carried out according to the internal operation information, the current, the voltage and the resistance in the facility are analyzed through the setting of the monitoring module, the generated heat energy in the facility is calculated, the actual storage factor without heat generation is calculated, the influence factor of the generated heat on the facility is calculated, and the internal working condition of the facility is accurately analyzed.
(3) The maximum external temperature data, the initial current data, the initial voltage data and the initial resistance data of the facility are stored in the database, the analysis module analyzes and calculates the maximum temperature reaching time of the facility to obtain the actual required time, and the actual required time is transmitted to the timing unit; the timing unit starts to count down after receiving the actually required time, and sends a monitoring command to the monitoring module when the countdown is about to end, the monitoring module monitors the temperature of the facility again, compares the monitored data with the highest external temperature, and performs analysis calculation operation through the analysis module, so that the temperature change of the facility during working is accurately calculated, the timing detection time of the internal temperature of the facility is adjusted according to the external temperature condition, the maintenance effect of the facility is increased, the protection of the facility is increased, the damage of the facility is avoided, and the loss brought to people is avoided.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention relates to a building facility maintenance and supervision system based on BIM, which comprises an acquisition module, an analysis module, a monitoring module, a fault judgment module, an emergency module, a processor, an alarm, a database, a timing unit and intelligent equipment;
the system comprises a collection module, an analysis module, a processor and an analysis module, wherein the collection module is used for collecting facility working information, the facility working information comprises working duration data, failure frequency data, temperature data and power on and power off frequency data, the working duration data, the failure frequency data, the temperature data and the power on and power off frequency data are transmitted to the analysis module through the processor, the analysis module is used for analyzing the facility working duration data, the facility failure frequency data, the facility temperature data and the power on and power off frequency data of the facility, and the specific operation process of:
the method comprises the following steps: acquiring temperature data of each facility in operation in a period of time, and marking the temperature data as Qhi, wherein h is 1, 2, 3.. n, i is 1, 2, 3.. m;
step two: acquiring working time length data of each facility in each day in one period, and marking the working time length data as Whi, wherein h is 1, 2, 3.. n, i is 1, 2, 3.. 10, and Qhi corresponds to Whi one by one;
step three: acquiring failure frequency data of each facility in each day in one period, and marking the data as Ehi, wherein h is 1, 2, 3.. n, i is 1, 2, 3.. 10, and Qhi corresponds to Ehi one by one;
step four: acquiring startup and shutdown frequency data of each facility in each day in one period, and marking the data as Rhi, h1, 2, 3.. n, i 1, 2, 3.. m, wherein Qhi, Ehi, Whi and Rhi are in one-to-one correspondence;
step five: setting the influence ratios of the service lives of the facilities corresponding to Qhi, Ehi, Whi and Rhi in the first to fourth steps, wherein the influence ratios are respectively marked as q, w, e and r, and calculating the damage degree of the facilities by the aid of the influence ratios and the Qhi, Ehi, Whi and Rhi, wherein Thi is represented as Qhi q + Ehi w + Whi e + Rhi r, and q + w + e + r is 1;
step six: firstly according to the formula
i 1, 2, 3.. m to obtain the average damage coefficient of each facility in each day in a period of time, and then according to a formula
i 1, 2, 3.. m, and calculating the discrete degree of damage coefficients of each facility in each day in a period of time;
the analysis module transmits Ui and Yi to a fault judgment module, the fault judgment module is used for judging the average damage coefficient and the dispersion degree of the damage coefficient, and the specific operation process of the judgment operation is as follows:
s1: setting preset values y and u of the average damage coefficient and the dispersion degree of the damage coefficient, and comparing the preset values y and u with Ui and Yi, wherein the preset values y and u are specifically as follows:
s 1: when Ui is more than or equal to u and Yi is more than or equal to y, judging that the equipment is seriously damaged and needs to be replaced, and generating a facility damage signal;
s 2: when Ui is more than or equal to u and Yi is less than y, judging that the equipment is damaged and needs to be overhauled, and generating a facility overhaul signal;
s 3: when Ui is less than u and Yi is more than or equal to y, judging that the equipment has a fault and needs to be checked, and generating a facility checking signal;
s 4: when Ui is less than u and Yi is less than y, the equipment is judged to be slightly damaged without maintenance, and a signal that the facility is intact is generated;
s2: acquiring a facility damage signal, a facility overhaul signal, a facility inspection signal and a facility intact signal in the s1-s4, transmitting the facility damage signal, the facility inspection signal, the facility intact signal and the facility intact signal to a signal identification unit in the fault judgment module, converting the facility damage signal into a damage command when the identification unit identifies the facility damage signal, transmitting the damage command to an alarm and an emergency module respectively, converting the facility inspection signal into a detection command when the identification unit identifies the facility overhaul signal and the facility inspection signal, transmitting the detection command to the monitoring module, and transmitting the intact signal to the intelligent device when the identification unit identifies the intact signal;
the alarm sends out the damage alarm after receiving the damage order, and the operation of facility is stopped after receiving the damage order to emergency module, monitoring module is used for monitoring the inside operation information of facility, inside operation information includes current data, voltage data, resistance data, time data and inside temperature data to monitor the analysis operation according to it, the concrete operation process of monitoring the analysis operation is:
k1, acquiring current data, voltage data, resistance data, time data and internal temperature data, and sequentially marking the data as D L o, DYo, DZo, SJo and NWo, wherein o is 1, 2, 3.... cndot, and D L o, DYo, DZo, SJo and NW are in one-to-one correspondence;
k2, acquiring current data, voltage data and resistance data, and substituting the current data, the voltage data and the resistance data into a calculation formula Qo-D L o2DYo and DZo, wherein Qo represents the heat generated during current operation;
k3: the time data SJo and the heat Qo generated during the above operation are acquired and brought into the calculation formula
Calculating the sum of the generated heat;
k4: acquiring the total and internal temperature data of the generated heat and substituting the data into a calculation formula
QGeneral assembly*f＝PNWoThereby obtaining
Wherein f is expressed as a heat generation actual storage factor, and the temperature data Qhi of each facility in the step one during working is obtained and is taken into the calculation formula P together with the total temperature dataNWog-Qhi, thereby obtaining g-Qhi/PNWoWherein g is expressed as an influence factor of the generated heat on the facility, and the generated heat actual storage factor and the influence factor of the generated heat on the facility are transmitted to the analysis module;
the data base stores the highest external temperature data, the initial current data, the initial voltage data and the initial resistance data of the facility, the analysis module is further used for analyzing and calculating the maximum temperature reaching time of the facility, and the specific operation process of the analyzing and calculating operation is as follows:
g1, acquiring maximum external temperature data, initial current data, initial voltage data and initial resistance data of the facility, and sequentially marking the data as ZGk, C L k, CYk and CZk, wherein k is 1, 2, 3.... l;
g2: the maximum external temperature data of the facility, the actual heat generation conservation factor and the influence factor of the generated heat on the facility are brought into the calculation formula
Wherein CR is expressed as actual operating heat data;
g3: the initial current data, initial voltage data and initial resistance data are brought into a calculation formula together with actual operation heat data
Wherein T isFruit of Chinese wolfberryExpressed as the time actually required for the temperature to rise to the maximum external temperature, and transmitted to the timing unit;
g4, simultaneously, acquiring temperature data of the current day through the monitoring module, calibrating the temperature data into DWD, setting a temperature preset value range B, detecting according to the time when DWD ∈ B is detected, increasing A1 seconds to detect at the time when DWD is less than B, and shortening A2 seconds to detect when DWD is more than B, wherein the detection is carried out at the time earlier than j seconds within the calibration time, and A1 and A2 are preset values;
the timing unit is after receiving actual required time, begins to count down promptly to sending the monitoring command to monitoring module when the count down is about to end, monitoring module monitors the facility temperature once more, and compares the data after monitoring with the highest outside temperature, specifically does:
h1: when the difference value between the re-monitored temperature and the highest external temperature is less than or equal to M, respectively sending a replacement signal to the emergency module and the alarm, sending a replacement alarm when the alarm receives the replacement signal, stopping the facility work after the emergency module receives the replacement signal, and replacing the standby facility for re-operation;
h2: when the difference between the re-monitored temperature and the highest external temperature is larger than M, signal maintenance signals are respectively sent to the emergency module and the alarm, the alarm sends out maintenance alarm when receiving the maintenance signals, the emergency module stops the operation of the facilities after receiving the maintenance signals, switches to the standby facilities for re-operation, and carries out maintenance and repair on the stopped facilities.
When the invention works, the acquisition module acquires the working information of the facility, and transmits the working information to the analysis module through the processor, the analysis module analyzes the working time length data of the facility, the failure frequency data of the facility, the temperature data of the facility and the on-off frequency data of the facility to obtain an average damage coefficient and the dispersion degree of the damage coefficient and transmits the average damage coefficient and the dispersion degree of the damage coefficient to the failure judgment module, the failure judgment module judges the average damage coefficient and the dispersion degree of the damage coefficient to obtain a damage command, a detection command and a sound signal, transmits the damage command to the alarm and the emergency module, transmits the detection command to the monitoring module, transmits the sound signal to the intelligent equipment, the alarm gives a damage alarm after receiving the damage command, the emergency module stops the operation of the facility after receiving the damage command, and the monitoring module is used for monitoring the internal operation information of the facility, the internal operation information comprises current data, voltage data, resistance data, time data and internal temperature data, monitoring and analyzing operation is carried out according to the internal operation information to obtain an actual heat generation storage factor and an influence factor of the generated heat on the facility, and the actual heat generation storage factor and the influence factor are transmitted to the analysis module; the analysis module is used for analyzing and calculating the maximum temperature reaching time of the facility to obtain the actual required time and transmitting the actual required time to the timing unit; the timing unit starts to count down after receiving the actual required time, and sends a monitoring command to the monitoring module when the countdown is about to end, the monitoring module monitors the temperature of the facility again, compares the monitored data with the highest external temperature, when the difference between the temperature monitored again and the highest external temperature is less than or equal to M, sends a replacing signal to the emergency module and the alarm respectively, when the alarm receives the replacing signal, the alarm sends a replacing alarm, when the emergency module receives the replacing signal, the facility stops working, the standby facility is replaced for running again, when the difference between the temperature monitored again and the highest external temperature is greater than M, the emergency module and the alarm send signal maintenance signals respectively, when the alarm receives the maintenance signals, the alarm sends a maintenance alarm, when the emergency module receives the maintenance signals, and stopping the operation of the facilities, switching to the standby facilities for operation again, and performing overhaul and maintenance on the stopped facilities.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (5)
1. A BIM-based building facility maintenance supervision system is characterized by comprising an acquisition module, an analysis module, a monitoring module, a fault judgment module, an emergency module, a processor, an alarm, a database, a timing unit and intelligent equipment;
the system comprises an acquisition module, an analysis module and a fault judgment module, wherein the acquisition module is used for acquiring facility working information which comprises working time length data, fault frequency data, temperature data and power on and power off frequency data and transmitting the working time length data, the fault frequency data, the temperature data and the power on and power off frequency data to the analysis module through a processor, and the analysis module is used for analyzing the facility working time length data, the facility fault frequency data, the facility temperature data and the power on and power off frequency data to obtain an average damage coefficient and a discrete degree of the damage coefficient and transmitting the discrete degree to the fault judgment module;
the fault judgment module is used for judging the average damage coefficient and the discrete degree of the damage coefficient to obtain a damage command, a detection command and a sound signal, transmitting the damage command to the alarm and the emergency module, transmitting the detection command to the monitoring module and transmitting the sound signal to the intelligent equipment;
the alarm gives out a damage alarm after receiving a damage command, the emergency module stops the operation of the facility after receiving the damage command, the monitoring module is used for monitoring the internal operation information of the facility, the internal operation information comprises current data, voltage data, resistance data, time data and internal temperature data, monitoring and analyzing operation is carried out according to the internal operation information, actual heat generation storage factors and heat generation influence factors on the facility are obtained, and the actual heat generation storage factors and the heat generation influence factors are transmitted to the analysis module;
the analysis module is also used for carrying out analysis calculation operation on the maximum temperature reaching time of the facility to obtain the actually required time and transmitting the actually required time to the timing unit;
the timing unit is after receiving actual required time, begins to count down promptly to sending the monitoring command to monitoring module when the count down is about to end, monitoring module monitors the facility temperature once more, and compares the data after monitoring with the highest outside temperature, specifically does:
h1: when the difference value between the re-monitored temperature and the highest external temperature is less than or equal to M, respectively sending a replacement signal to the emergency module and the alarm, sending a replacement alarm when the alarm receives the replacement signal, stopping the facility work after the emergency module receives the replacement signal, and replacing the standby facility for re-operation;
h2: when the difference between the re-monitored temperature and the highest external temperature is larger than M, signal maintenance signals are respectively sent to the emergency module and the alarm, the alarm sends out maintenance alarm when receiving the maintenance signals, the emergency module stops the operation of the facilities after receiving the maintenance signals, switches to the standby facilities for re-operation, and carries out maintenance and repair on the stopped facilities.
2. The BIM-based construction facility maintenance supervision system according to claim 1, wherein the specific operation process of the analysis operation is:
the method comprises the following steps: acquiring temperature data of each facility in operation in a period of time, and marking the temperature data as Qhi, wherein h is 1, 2, 3.. n, i is 1, 2, 3.. m;
step two: acquiring working time length data of each facility in each day in one period, and marking the working time length data as Whi, wherein h is 1, 2, 3.. n, i is 1, 2, 3.. 10, and Qhi corresponds to Whi one by one;
step three: acquiring failure frequency data of each facility in each day in one period, and marking the data as Ehi, wherein h is 1, 2, 3.. n, i is 1, 2, 3.. 10, and Qhi corresponds to Ehi one by one;
step four: acquiring startup and shutdown frequency data of each facility in each day in one period, and marking the data as Rhi, h1, 2, 3.. n, i 1, 2, 3.. m, wherein Qhi, Ehi, Whi and Rhi are in one-to-one correspondence;
step five: setting the influence ratios of the service lives of the facilities corresponding to the first to fourth steps Qhi, Ehi, Whi and Rhi, respectively marked as q, w, e and r, and calculating the damage degree of the facilities by using the influence ratios and Qhi, Ehi, Whi and Rhi, wherein Thi is represented as the damage degree of the facilities, and q + w + e + r is 1;
step six: firstly according to the formula
To obtain the average damage coefficient of each facility in each day in a period of time, and then according to the formula
To find the discrete degree of damage coefficient of each facility in each day in a period of time.
3. The BIM-based construction equipment maintenance supervision system according to claim 1, wherein the specific operation process of the decision operation is:
s1: setting preset values y and U of the average damage coefficient and the dispersion degree of the damage coefficient, and comparing the preset values with UiAnd YiComparing, specifically comprising:
s 1: when U is turnediNot less than u and YiWhen the damage is more than or equal to y, judging that the equipment is seriously damaged and needs to be replaced, and generating a facility replacement signal;
s 2: when U is turnediNot less than u and YiIf < y, then judgeDetermining that the equipment is damaged and needs to be overhauled, and generating a facility overhaul signal;
s 3: when U is turnedi< u, and YiWhen the voltage is more than or equal to y, judging that the equipment has a fault and needs to be checked, and generating a facility checking signal;
s 4: when U is turnedi< u, and YiIf the damage is less than y, judging that the equipment is slightly damaged, and generating a signal that the facility is intact without maintenance;
s2: the facility replacement signal, the facility inspection signal, and the facility sound signal in s1_ s4 are acquired and transmitted to the signal recognition unit in the failure determination module, and when the recognition unit recognizes the facility replacement signal, it is converted into a replacement command and transmitted to the alarm and the emergency module, respectively, when the recognition unit recognizes the facility inspection signal and the facility inspection signal, it is converted into a detection command and transmitted to the monitoring module, and when the recognition unit recognizes the sound signal, it is transmitted to the smart device.
4. The BIM-based construction equipment maintenance supervision system according to claim 1, wherein the specific operation process of the monitoring and analyzing operation is:
k1, acquiring current data, voltage data, resistance data, time data and internal temperature data, and sequentially marking the data as D L o, DYo, DZo, SJo and NWo, wherein o is 1, 2, 3.... cndot, and D L o, DYo, DZo, SJo and NW are in one-to-one correspondence;
k2, acquiring current data, voltage data and resistance data, and substituting the current data, the voltage data and the resistance data into a calculation formula Qo-D L o2DYo and DZo, wherein Qo represents the heat generated during current operation;
k3: the time data SJo and the heat Qo generated during the above operation are acquired and brought into the calculation formula
Calculating the sum of the generated heat;
k4: acquiring the total and internal temperature data of the generated heat and substituting the data into a calculation formula
QGeneral assembly*f＝PNWoThereby obtaining
Wherein f is expressed as a heat generation actual storage factor, and the temperature data Qhi of each facility in the step one during working is obtained and is taken into the calculation formula P together with the total temperature dataNWog-Qhi, thereby obtaining g-Qhi/PNWoWherein g is expressed as an influence factor of the generated heat on the facility.
5. The BIM-based construction facility maintenance supervision system according to claim 1, wherein the specific operation process of the analysis calculation operation is:
g1, acquiring maximum external temperature data, initial current data, initial voltage data and initial resistance data of the facility, and sequentially marking the data as ZGk, C L k, CYk and CZk, wherein k is 1, 2, 3.... I;
g2: the maximum external temperature data of the facility, the actual heat generation conservation factor and the influence factor of the generated heat on the facility are brought into the calculation formula
Wherein CR is expressed as actual operating heat data;
g3: the initial current data, initial voltage data and initial resistance data are brought into a calculation formula together with actual operation heat data
Wherein 7Fruit of Chinese wolfberryExpressed as the time actually required for the temperature to rise to the maximum external temperature, and transmitted to the timing unit;
and G4, simultaneously, acquiring temperature data of the current day through the monitoring module, calibrating the temperature data into DWD, setting a temperature preset value range B, detecting according to the time when DWD ∈ B is detected, increasing A1 seconds to detect at the time when DWD is less than B, and shortening A2 seconds to detect when DWD is more than B, wherein the detection is carried out at the time earlier than j seconds within the calibration time, and A1 and A2 are preset values.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113008591A (en) * | 2021-03-10 | 2021-06-22 | 山东大学 | Equipment full-life-cycle monitoring method and system based on Internet of things |
| CN114493123A (en) * | 2021-12-27 | 2022-05-13 | 山东建安物联科技有限公司 | Smart construction site cloud platform management method, system and device and storage medium |
| CN115330002A (en) * | 2022-10-14 | 2022-11-11 | 山东力拓智能科技有限公司 | Intelligent building operation and maintenance management system |
| CN115470557A (en) * | 2022-09-16 | 2022-12-13 | 盐城工学院 | Intelligent building design method and system based on BIM |
| CN116664100A (en) * | 2023-05-09 | 2023-08-29 | 江苏盛达智慧科技信息有限公司 | BIM+AI-based intelligent operation and maintenance management system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140303935A1 (en) * | 2011-06-15 | 2014-10-09 | Expanergy, Llc | Universal internet of things cloud apparatus and methods |
| CN108984899A (en) * | 2018-07-12 | 2018-12-11 | 陕西中达公路技术服务有限公司 | A kind of real-time progress supervision method of BIM project |
| US20190023529A1 (en) * | 2017-07-18 | 2019-01-24 | Chun Ming LAU | System and method for managing and monitoring lifting systems and building facilities |
| CN110909893A (en) * | 2019-11-18 | 2020-03-24 | 南京美慧软件有限公司 | Intelligent operation and maintenance management system for expressway |
| CN111045410A (en) * | 2019-12-31 | 2020-04-21 | 界首市迅立达电梯有限公司 | Production equipment management planning system based on big data |
-
2020
- 2020-05-25 CN CN202010450573.XA patent/CN111476385B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140303935A1 (en) * | 2011-06-15 | 2014-10-09 | Expanergy, Llc | Universal internet of things cloud apparatus and methods |
| US20190023529A1 (en) * | 2017-07-18 | 2019-01-24 | Chun Ming LAU | System and method for managing and monitoring lifting systems and building facilities |
| CN108984899A (en) * | 2018-07-12 | 2018-12-11 | 陕西中达公路技术服务有限公司 | A kind of real-time progress supervision method of BIM project |
| CN110909893A (en) * | 2019-11-18 | 2020-03-24 | 南京美慧软件有限公司 | Intelligent operation and maintenance management system for expressway |
| CN111045410A (en) * | 2019-12-31 | 2020-04-21 | 界首市迅立达电梯有限公司 | Production equipment management planning system based on big data |
Non-Patent Citations (1)
| Title |
|---|
| 舒兰: "《BIM技术与互联网的集成应用》", 《农村电气化》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113008591A (en) * | 2021-03-10 | 2021-06-22 | 山东大学 | Equipment full-life-cycle monitoring method and system based on Internet of things |
| CN113008591B (en) * | 2021-03-10 | 2021-12-17 | 山东大学 | Equipment full-life-cycle monitoring method and system based on Internet of things |
| CN114493123A (en) * | 2021-12-27 | 2022-05-13 | 山东建安物联科技有限公司 | Smart construction site cloud platform management method, system and device and storage medium |
| CN115470557A (en) * | 2022-09-16 | 2022-12-13 | 盐城工学院 | Intelligent building design method and system based on BIM |
| CN115330002A (en) * | 2022-10-14 | 2022-11-11 | 山东力拓智能科技有限公司 | Intelligent building operation and maintenance management system |
| CN115330002B (en) * | 2022-10-14 | 2023-01-31 | 山东力拓智能科技有限公司 | Intelligent building operation and maintenance management system |
| CN116664100A (en) * | 2023-05-09 | 2023-08-29 | 江苏盛达智慧科技信息有限公司 | BIM+AI-based intelligent operation and maintenance management system |
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