CN112255959B - Intelligent building safety management system based on big data - Google Patents
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- CN112255959B CN112255959B CN202011192427.8A CN202011192427A CN112255959B CN 112255959 B CN112255959 B CN 112255959B CN 202011192427 A CN202011192427 A CN 202011192427A CN 112255959 B CN112255959 B CN 112255959B
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Abstract
The invention discloses an intelligent building safety management system based on big data, which comprises a data acquisition module, a data distribution module, a data calculation module, a data analysis module, a data discrimination module, a safety management module, a data interconnection module, a control module, a storage module, an alarm, a warning light and a fire alarm module, wherein the data acquisition module is used for acquiring safety information of a building in real time, the data distribution module is used for generating and analyzing a glass curtain wall data in the safety information and transmitting the glass curtain wall data to the data calculation module, the data distribution module is used for generating and analyzing a component strength data in the safety information and transmitting the component strength data to the data analysis module, the data distribution module is used for transmitting a flue gas concentration in the building and a temperature in the building in the safety information to the data discrimination module, thereby avoiding the generation of safety accidents, prolonging the service life of the building and preventing the occurrence of fire accidents, the life and property safety of personnel is protected.
Description
Technical Field
The invention relates to the field of building safety management, in particular to an intelligent building safety management system based on big data.
Background
The big data is developed rapidly as a new industry in recent years, and has been deeply developed in the aspects of production and life, and in the generalized building industry, the industries including China, cities, villages, scenic spots, buildings, structural water, heating and power and the like apply various technologies of the big data, and various kinds of data are summarized, analyzed and summarized to obtain various optimization schemes so as to serve the production and life of people.
At present, various technologies of big data are widely applied to design, construction and planning of buildings, according to a large amount of tracking data, the design of functions of heat preservation, ventilation, energy conservation and the like of an outer wall of the building can be optimized, the environment regulation design in the building can be optimized, the construction process and the purchasing process of the building can be optimized, but in the operation and maintenance of the building, the application of the big data is less, the operation and maintenance of a building group are realized, or various safety standards and quality standards of the building are involved, the application degree of the big data technology is less, the big data technology can only be used as the optimization of the design standard and the standard before construction, and various management, especially safety management, can not be carried out on the building in the operation and maintenance stage.
Because high-rise buildings are more and more at present, the outer wall of building adopts glass as the curtain of building more, and this can cause a large amount of potential safety hazards, and when extreme weather comes temporarily, glass curtain wall can drop because of various reasons and cause the incident, and the inner structure of building also need regularly to inspect and maintain, and the fire control safety of building also receives more and more attention, and these problems also are the key problem in the operation maintenance of building.
Disclosure of Invention
The invention aims to provide an intelligent building safety management system based on big data, so that the existing problems in building operation are solved.
The purpose of the invention can be realized by the following technical scheme:
an intelligent building safety management system based on big data comprises a data acquisition module, a data distribution module, a data calculation module, a data analysis module, a data discrimination module, a safety management module, a data interconnection module, a control module, a storage module, a warning device, a warning lamp and a fire alarm module;
the data acquisition module is used for acquiring safety information of the building in real time, the safety information of the building comprises glass curtain wall data, component strength data, smoke concentration in the building and temperature in the building, and the data acquisition module is used for transmitting the acquired safety information to the data distribution module; the data distribution module is used for receiving the safety information transmitted in the data acquisition module, the data distribution module generates and analyzes the glass curtain wall data in the safety information and transmits the analysis signals to the data calculation module, the glass curtain wall data comprise a wind pressure index, a vibration index and an illumination index born by the glass curtain wall, the data calculation module starts to perform calculation operation after receiving the analysis signals, and the specific steps are as follows:
the method comprises the following steps: acquiring a daily wind pressure index of each glass curtain wall in a first time period, defining the daily wind pressure index of each glass curtain wall as the duration of the wind pressure value born by each glass curtain wall in each day exceeding a preset value c, and calibrating the duration as Pij, i is 1.. n, j is 1.. m, wherein i corresponds to each glass curtain wall, j corresponds to each day, and when i is 2 and j is 1, P21 represents the wind pressure index of a second glass curtain wall in the first time period in the first day;
step two: acquiring a daily vibration index of each glass curtain wall in a first time period, defining the daily vibration index of each glass curtain wall as the duration of the daily vibration frequency value of each glass curtain wall exceeding a preset value s, and calibrating the duration as Qij, wherein i is 1.
Step three: acquiring an illumination index of each glass curtain wall every day in a period of time, defining the illumination index of each glass curtain wall every day as the duration of the illumination intensity of each glass curtain wall which exceeds a preset value d, and calibrating the duration as Wij, i is 1.. n, j is 1.. m, and Pij, Qij and Wij are in one-to-one correspondence;
step four: carrying out weight distribution on the influence ratios of Pij, Qij and Wij on the service life of the glass curtain walls in the first step to the third step, sequentially distributing the weight ratios to preset values p, q and w, and obtaining the loss coefficient of each glass curtain wall in each day in a period of time according to a formula Rij (Qij) q + Wij w + Pij);
step five: firstly according to the formula
The average loss coefficient of each glass curtain wall in the first time period is obtained, and then the average loss coefficient is obtained according to a formula
Obtaining the discrete degree of the loss coefficient of each glass curtain wall in the first time period;
the first time period is defined as the interval time from the first day of the previous month to the first day of the current month, and the data calculation module transmits Ti and Yi to the safety management module after acquiring Ti and Yi; the safety management module compares the Ti and the Yi with preset values t and y respectively when receiving the Ti and the Yi, generates a check signal for the glass curtain wall corresponding to the Ti or the Yi when the Ti is larger than the preset value t and the Yi is larger than the preset value y, generates a replacement signal for the glass curtain wall corresponding to the Ti or the Yi when the Ti is larger than the preset value t and the Yi is smaller than or equal to the preset value y, and transmits one of the check signal and the replacement signal to the control module; the control module transmits the inspection signal and the replacement signal to the data interconnection module when receiving one of the inspection signal and the replacement signal; the data interconnection module is used for receiving the inspection signal and the replacement signal and displaying the inspection signal and the replacement signal on a mobile phone of a worker, and the data interconnection module is in communication connection with the mobile phone of the worker; the control module is also used for transmitting the maintenance signal and the replacement signal to the storage module, and the storage module generates a work log table for storage after receiving the maintenance signal and the replacement signal;
the data distribution module is used for receiving the safety information transmitted in the data acquisition module, the data distribution module generates analysis signals from the component strength data in the safety information and transmits the analysis signals to the data analysis module, the component strength data comprise stress values born by the components, and the data analysis module starts to perform analysis operation after receiving the analysis signals, and the method specifically comprises the following steps:
the method comprises the following steps: and acquiring the mean stress value of each member in each day in the daily use process of the building in a second time period, and calibrating the mean stress value as Hij, i is 1.. n, j is 1.. m, wherein i represents the ith day, and j represents the jth member, and meanwhile, using a formula
Determining the daily working strength h of each componentjIndicating the standard working stress of the jth component;
step two: firstly according to the formula
To obtain the average working strength of a plurality of components in the second time period in each day according to the formula
Calculating the average value of the average working strength of the plurality of components in the second time period every day;
step three: firstly according to the formula
Obtaining the average work intensity discrete value of a plurality of components in the second time period in each day, and then obtaining the average work intensity discrete value according to the formula
Obtaining the average value of the average work intensity discrete values of a plurality of components in each day in the second time period, wherein Ai corresponds to Xi one by one;
step four: acquiring the deformation size of each member every day in the daily use process of the building in a second time period, and calibrating the deformation size as Kij, i is 1.. n, j is 1.. m;
the second time period is defined as the interval time from the first day of the previous year to the first day of the current year, and the data analysis module transmits the Ai, F, Xi, E and Kij to the safety management module when acquiring the Ai, F, Xi, E and Kij; the safety management module compares Ai with F, Xi and E, Kij with k after receiving Ai, F, Xi, E and Kij, wherein k is a preset value, when Kij is less than or equal to k, Ai is less than or equal to F and Xi is less than or equal to E, a component corresponding to Kij generates a low-intensity signal, when Kij is less than or equal to k, Ai is less than or equal to F and Xi is greater than E, a component corresponding to Kij generates a medium-intensity signal, when Kij is less than or equal to k, Ai is greater than F and Xi is greater than E, a component corresponding to Kij generates a high-intensity signal, when Kij is greater than k, the component corresponding to Kij generates a maintenance signal, and the safety management module is further used for transmitting the low-intensity signal, the medium-intensity signal, the high-intensity signal and the maintenance signal to the control module; the control module controls the warning device of the component corresponding to the maintenance signal to give an alarm when receiving the maintenance signal, controls the warning lamp of the component corresponding to the high-intensity signal to flicker when receiving the high-intensity signal, is in communication connection with the warning device and the warning lamp, and simultaneously transmits the low-intensity signal, the medium-intensity signal, the high-intensity signal and the maintenance signal to the storage module; when the storage module receives the low-intensity signal, the medium-intensity signal, the high-intensity signal and the maintenance signal, marking the corresponding components from deep to shallow, and generating a maintenance log for storage;
the data distribution module is used for receiving the safety information transmitted in the data acquisition module, the data distribution module generates a distinguishing signal for the smoke concentration in the building and the temperature in the building in the safety information and transmits the distinguishing signal to the data distinguishing module, and the data distinguishing module starts to distinguish operation after receiving the distinguishing signal, and the specific steps are as follows:
the method comprises the following steps: acquiring a smoke concentration value in the air of each acquisition point in every minute in real time during building use, and calibrating the smoke concentration value as Uij, wherein i is 1.. n, j is 1.. m, i represents the ith minute, and j represents the jth acquisition point;
step two: acquiring a temperature value around each acquisition point in every minute in use of a building in real time, and calibrating the temperature value as Iij, i is 1.. n, j is 1.. m;
step three: the data discrimination module compares Uij and Iij with preset values v and r after acquiring a daily flue gas concentration value Uij and a daily temperature value Iij, generates a fire alarm signal together with Uij and Iij when the conditions that Uij is greater than the preset value v and Iij is greater than the preset value r are met, and generates an inspection signal when Uij is greater than any one of the preset value v and Iij is greater than the preset value r are met;
the data discrimination module is used for transmitting the fire alarm signal and the inspection signal to the safety management module; the safety management module transmits the fire alarm signal and the inspection signal to the control module when receiving the fire alarm signal and the inspection signal; the control module controls the alarm lamp of the acquisition point corresponding to the checking signal to flash when receiving the checking signal, transmits the fire alarm signal to the fire alarm module when receiving the fire alarm signal, and is also used for transmitting the fire alarm signal and the checking signal to the data interconnection module and the storage module; when receiving the fire alarm signal and the inspection signal, the data interconnection module sends the fire alarm signal and the inspection signal to a mobile phone of a manager for displaying; when the storage module receives the fire alarm signal and the inspection signal, the fire alarm signal and the inspection signal and corresponding dates are generated together into a fire information table for storage;
the fire alarm module is used for receiving a fire alarm signal, finding a fire facility near a corresponding acquisition point according to the fire alarm signal, opening a water sprayer and a falling fire door near the corresponding acquisition point, and sending a fire alarm to a fire department, wherein the fire alarm comprises smoke concentration and temperature data of the acquisition point, an address of a building, a unit of the building and occurrence time;
the big data analysis module is used for calling a working log table, a maintenance log and a fire information table stored in the storage module to summarize preset values c, s, d, p, q, w, t, y, hjK, v and r are subjected to modeling calculation, the obtained result is firstly generated into a data adjusting signal, then the data adjusting signal is transmitted to the safety management module, and the safety management module receives the data adjusting signal and then sequentially adjusts the preset values.
Further, the data acquisition module includes the sensor, the sensor includes wind pressure sensor, vibration sensor, light intensity sensor, the stressometer, the deformation monitor, flue gas concentration sensor and temperature sensor, wind pressure sensor installs the outside center at each glass curtain wall, vibration sensor installs the edge at each glass curtain wall, light intensity sensor installs the upper portion at each glass curtain wall, stressometer and deformation monitor are installed on each component of building, flue gas concentration sensor and temperature sensor evenly distributed are in the building.
Furthermore, the big data analysis module also carries out modeling analysis according to various data of the storage module, obtains an optimization scheme of the number and the distribution positions of the sensors required by the building, and simultaneously publishes the optimization scheme.
Further, the data interconnection module comprises any one or more of a WiFi module, a GSM module, a GPRS module, a CDMA module, a WCDMA module, a TD-SCDMA module, and a LoRa module.
The invention has the beneficial effects that:
according to the invention, through the arranged data acquisition module, the work of checking, acquiring and filling a table by a large number of workers is simplified into the work of automatically acquiring various data by various sensors and samplers, and the data calculation module transmits Ti and Yi to the safety management module after acquiring the Ti and Yi; the safety management module compares the Ti and the Yi with preset values t and y respectively when receiving the Ti and the Yi, generates a check signal for the glass curtain wall corresponding to the Ti or the Yi when the Ti is larger than the preset value t and the Yi is larger than the preset value y, generates a replacement signal for the glass curtain wall corresponding to the Ti or the Yi when the Ti is larger than the preset value t and the Yi is smaller than or equal to the preset value y, and transmits one of the check signal and the replacement signal to the control module; the control module transmits the inspection signal and the replacement signal to the data interconnection module when receiving one of the inspection signal and the replacement signal; the data interconnection module is used for receiving the inspection signal and the replacement signal and displaying the inspection signal and the replacement signal on a mobile phone of a worker, and the data interconnection module is in communication connection with the mobile phone of the worker; the control module is also used for transmitting the maintenance signal and the replacement signal to the storage module, and the storage module generates a work log table for storage after receiving the maintenance signal and the replacement signal, so that a worker can conveniently maintain the glass curtain wall, and safety accidents are avoided;
when acquiring Ai, F, Xi, E and Kij, the data analysis module transmits the Ai, F, Xi, E and Kij to the safety management module; the safety management module compares Ai with F, Xi and E, Kij with k after receiving Ai, F, Xi, E and Kij, wherein k is a preset value, when Kij is less than or equal to k, Ai is less than or equal to F and Xi is less than or equal to E, a component corresponding to Kij generates a low-intensity signal, when Kij is less than or equal to k, Ai is less than or equal to F and Xi is greater than E, a component corresponding to Kij generates a medium-intensity signal, when Kij is less than or equal to k, Ai is greater than F and Xi is greater than E, a component corresponding to Kij generates a high-intensity signal, when Kij is greater than k, the component corresponding to Kij generates a maintenance signal, and the safety management module is further used for transmitting the low-intensity signal, the medium-intensity signal, the high-intensity signal and the maintenance signal to the control module; the control module controls the warning device of the component corresponding to the maintenance signal to give an alarm when receiving the maintenance signal, controls the warning lamp of the component corresponding to the high-intensity signal to flicker when receiving the high-intensity signal, is in communication connection with the warning device and the warning lamp, and simultaneously transmits the low-intensity signal, the medium-intensity signal, the high-intensity signal and the maintenance signal to the storage module; when the storage module receives the low-intensity signal, the medium-intensity signal, the high-intensity signal and the maintenance signal, the components corresponding to the low-intensity signal, the medium-intensity signal, the high-intensity signal and the maintenance signal are respectively marked from deep to shallow, and a maintenance log is generated for storage, so that workers can maintain the components and the building conveniently, and the service life of the building is prolonged;
the data discrimination module is used for transmitting the fire alarm signal and the inspection signal to the safety management module; the safety management module transmits the fire alarm signal and the inspection signal to the control module when receiving the fire alarm signal and the inspection signal; the control module controls the alarm lamp of the acquisition point corresponding to the checking signal to flash when receiving the checking signal, transmits the fire alarm signal to the fire alarm module when receiving the fire alarm signal, and is also used for transmitting the fire alarm signal and the checking signal to the data interconnection module and the storage module; when receiving the fire alarm signal and the inspection signal, the data interconnection module sends the fire alarm signal and the inspection signal to a mobile phone of a manager for displaying; when the storage module receives the fire alarm signal and the checking signal, the fire alarm signal and the checking signal and the corresponding date are generated into a fire information table together for storage, so that the occurrence of fire accidents is prevented, and the life and property safety of personnel is protected;
the big data analysis module is used for calling a working log table, a maintenance log and a fire information table stored in the storage module to summarize preset values c, s, d, p, q, w, t, y, hjK, v and r are subjected to modeling calculation, the obtained result is firstly generated into a data adjusting signal, then the data adjusting signal is transmitted to the safety management module, and the safety management module receives the data adjusting signal and then sequentially adjusts the preset values.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention;
Detailed Description
Referring to fig. 1, an intelligent building safety management system based on big data comprises a data acquisition module, a data distribution module, a data calculation module, a data analysis module, a data discrimination module, a safety management module, a data interconnection module, a control module, a storage module, a warning device, a warning lamp and a fire alarm module;
the data acquisition module is used for acquiring safety information of the building in real time, the safety information of the building comprises glass curtain wall data, component strength data, smoke concentration in the building and temperature in the building, and the data acquisition module is used for transmitting the acquired safety information to the data distribution module; the data distribution module is arranged in receiving the safety information of transmission in the data acquisition module, the glass curtain wall data transmission of data distribution module in with the safety information is to data calculation module, and glass curtain wall data includes the wind pressure index that glass curtain wall bore, vibration index and illumination index, and the accessible installs wind pressure sensor, vibration sensor and the illumination sensor on glass curtain wall and carries out real-time detection, data calculation module is after receiving glass curtain wall data, begins to carry out analysis operations promptly, and concrete step is as follows:
the method comprises the following steps: acquiring a daily wind pressure index of each glass curtain wall in a first time period, defining the daily wind pressure index of each glass curtain wall as the duration of the wind pressure value born by each glass curtain wall in each day exceeding a preset value c, and calibrating the duration as Pij, i is 1.. n, j is 1.. m, wherein i corresponds to each glass curtain wall, j corresponds to each day, and when i is 2 and j is 1, P21 represents the wind pressure index of a second glass curtain wall in the first time period in the first day;
step two: acquiring a daily vibration index of each glass curtain wall in a first time period, defining the daily vibration index of each glass curtain wall as the duration of the daily vibration frequency value of each glass curtain wall exceeding a preset value s, and calibrating the duration as Qij, wherein i is 1.
Step three: acquiring an illumination index of each glass curtain wall every day in a period of time, defining the illumination index of each glass curtain wall every day as the duration of the illumination intensity of each glass curtain wall which exceeds a preset value d, and calibrating the duration as Wij, i is 1.. n, j is 1.. m, and Pij, Qij and Wij are in one-to-one correspondence;
step four: carrying out weight distribution on the influence ratios of Pij, Qij and Wij on the service life of the glass curtain walls in the first step to the third step, sequentially distributing the weight ratios to preset values p, q and w, and obtaining the loss coefficient of each glass curtain wall in each day in a period of time according to a formula Rij (Qij) q + Wij w + Pij);
step five: firstly according to the formula
The average loss coefficient of each glass curtain wall in the first time period is obtained, and then the average loss coefficient is obtained according to a formula
Obtaining the discrete degree of the loss coefficient of each glass curtain wall in the first time period;
the first time period is defined as the interval time from the first day of the previous month to the first day of the current month, and the data calculation module transmits Ti and Yi to the safety management module after acquiring Ti and Yi; the safety management module compares the Ti and the Yi with preset values t and y respectively when receiving the Ti and the Yi, generates an inspection signal for the glass curtain wall corresponding to the Ti or the Yi when the Ti is larger than the preset value t and the Yi is larger than the preset value y, generates a replacement signal for the glass curtain wall corresponding to the Ti or the Yi when the Ti is larger than the preset value t and the Yi is smaller than or equal to the preset value y, and transmits one of the inspection signal and the replacement signal to the control module; the control module transmits one of the inspection signal and the replacement signal to the data interconnection module when receiving the inspection signal and the replacement signal; the data interconnection module is used for receiving the inspection signal and the replacement signal and displaying the inspection signal and the replacement signal on a mobile phone of a worker, so that the worker can conveniently inspect and replace the related glass curtain wall to avoid safety accidents, and the data interconnection module is in communication connection with the mobile phone of the worker; the control module is also used for transmitting the overhaul signal and the replacement signal to the storage module, and the storage module generates a work log table for storage after receiving the inspection signal and the replacement signal, so that not only can the staff conveniently check the overhaul and replacement records to arrange work planning, but also a large amount of basic data is formed for big data analysis and modeling, and an optimized design and operation scheme is obtained;
the data distribution module is used for receiving the safety information transmitted in the data acquisition module, the data distribution module transmits member strength data in the safety information to the data analysis module, the member strength data comprise stress values born by members, and the data analysis module starts to perform analysis operation after receiving the member strength data, and the specific steps are as follows:
the method comprises the following steps: and acquiring the mean stress value of each member in each day in the daily use process of the building in a second time period, and calibrating the mean stress value as Hij, i is 1.. n, j is 1.. m, wherein i represents the ith day, and j represents the jth member, and meanwhile, using a formula
Determining the daily working strength h of each componentjIndicating the standard working stress of the jth component;
step two: firstly according to the formula
To obtain the average working strength of a plurality of components in the second time period in each day according to the formula
Calculating the average value of the average working strength of the plurality of components in the second time period every day;
step three: firstly according to the formula
Obtaining the average work intensity discrete value of a plurality of components in the second time period in each day, and then obtaining the average work intensity discrete value according to the formula
Obtaining the average value of the average work intensity discrete values of a plurality of components in each day in the second time period, wherein Ai corresponds to Xi one by one;
step four: acquiring the deformation size of each member every day in the daily use process of the building in a second time period, and calibrating the deformation size as Kij, i is 1.. n, j is 1.. m;
the second time period is defined as the interval time from the first day of the previous year to the first day of the current year, and the data analysis module transmits the Ai, F, Xi, E and Kij to the safety management module when acquiring the Ai, F, Xi, E and Kij; the safety management module compares Ai with F, Xi and E, Kij with k after receiving Ai, F, Xi, E and Kij, wherein k is a preset value, when Kij is less than or equal to k, Ai is less than or equal to F and Xi is less than or equal to E, a component corresponding to Kij generates a low-intensity signal, when Kij is less than or equal to k, Ai is less than or equal to F and Xi is greater than E, a component corresponding to Kij generates a medium-intensity signal, when Kij is less than or equal to k, Ai is greater than F and Xi is greater than E, a component corresponding to Kij generates a high-intensity signal, when Kij is greater than k, the component corresponding to Kij generates a maintenance signal, and the safety management module is further used for transmitting the low-intensity signal, the medium-intensity signal, the high-intensity signal and the maintenance signal to the control module; the control module controls the warning device of the component corresponding to the maintenance signal to give an alarm when receiving the maintenance signal, controls the warning lamp of the component corresponding to the high-intensity signal to flash when receiving the high-intensity signal, is in communication connection with the warning device and the warning lamp, and simultaneously transmits the low-intensity signal, the medium-intensity signal, the high-intensity signal and the maintenance signal to the storage module; when the storage module receives the low-intensity signal, the medium-intensity signal, the high-intensity signal and the maintenance signal, the components corresponding to the low-intensity signal, the medium-intensity signal, the high-intensity signal and the maintenance signal are respectively marked from deep to shallow, and a maintenance log is generated for storage, so that workers can maintain and maintain each component of a building, and a data basis is provided for design, construction and later maintenance of the same building, so that an optimized design scheme, construction scheme and maintenance scheme can be generated conveniently, the use effect of the building is improved, the improvement of the living standard is promoted, and safety accidents are avoided;
the data distribution module is used for receiving the safety information transmitted in the data acquisition module, the data distribution module generates a distinguishing signal according to the smoke concentration in the building and the temperature in the building in the safety information and transmits the distinguishing signal to the data distinguishing module, and the data distinguishing module starts to distinguish operation after receiving the distinguishing signal generated according to the smoke concentration in the building and the temperature in the building, and the specific steps are as follows:
the method comprises the following steps: acquiring a smoke concentration value in the air of each acquisition point in every minute in real time during building use, and calibrating the smoke concentration value as Uij, wherein i is 1.. n, j is 1.. m, i represents the ith minute, and j represents the jth acquisition point;
step two: acquiring a temperature value around each acquisition point in every minute in use of a building in real time, and calibrating the temperature value as Iij, i is 1.. n, j is 1.. m;
step three: the data discrimination module compares Uij and Iij with preset values v and r after acquiring a daily flue gas concentration value Uij and a daily temperature value Iij, generates a fire alarm signal together with Uij and Iij when the conditions that Uij is greater than the preset value v and Iij is greater than the preset value r are met, and generates an inspection signal when Uij is greater than any one of the preset value v and Iij is greater than the preset value r are met;
the data discrimination module is used for transmitting the fire alarm signal and the inspection signal to the safety management module; the safety management module transmits the fire alarm signal and the inspection signal to the control module when receiving the fire alarm signal and the inspection signal; the control module controls the alarm lamp of the acquisition point corresponding to the checking signal to flash when receiving the checking signal, transmits the fire alarm signal to the fire alarm module when receiving the fire alarm signal, and is also used for transmitting the fire alarm signal and the checking signal to the data interconnection module and the storage module; when receiving the fire alarm signal and the inspection signal, the data interconnection module sends the fire alarm signal and the inspection signal to a mobile phone of a manager for displaying; when the storage module receives the fire alarm signal and the checking signal, the fire alarm signal and the checking signal and corresponding dates are generated together into a fire risk information table for storage, so that the fire risk information table facilitates the troubleshooting process of workers, improves the troubleshooting strength of fire protection fire risks, enhances the timeliness and effectiveness of fire protection means, and reduces various losses in fire risks;
the fire alarm module is used for receiving a fire alarm signal, finding a fire facility near a corresponding acquisition point according to the fire alarm signal, opening a water sprayer and a falling fire door near the corresponding acquisition point, and sending a fire alarm to a fire department, wherein the fire alarm comprises smoke concentration and temperature data of the acquisition point, an address of a building, a unit of the building and occurrence time, so that the disposal efficiency of fire danger is improved;
the big data analysis module is used for calling a working log table, a maintenance log and a fire information table stored in the storage module to summarize preset values c, s, d, p, q, w, t, y, hjK, v and r are subjected to modeling calculation, a data adjusting signal is generated from an obtained result, and then the data adjusting signal is transmitted to the safety management module, and the safety management module receives the data adjusting signal and then sequentially adjusts each preset value, so that each work of the building in design, construction and operation and maintenance is optimized, and each standard of the building is more scientific.
The data acquisition module includes the sensor, the sensor includes wind pressure sensor, vibration sensor, light intensity sensor, stressometer, deformation monitor, flue gas concentration sensor and temperature sensor, wind pressure sensor installs the outside center at each glass curtain wall, vibration sensor installs the edge at each glass curtain wall, light intensity sensor installs the upper portion at each glass curtain wall, stressometer and deformation monitor are installed on each component of building, flue gas concentration sensor and temperature sensor evenly distributed are in the building, through each item data of each item sensor real-time tracking building to each item standard for the building provides data support.
The big data analysis module is used for carrying out modeling analysis according to various data of the storage module, obtaining an optimization scheme of the number and the distribution positions of the sensors required by the building, and publishing the optimization scheme, so that the matching performance of the optimization scheme is improved, the built model is continuously optimized, and the accuracy is improved.
The data interconnection module comprises any one or more of a WiFi module, a GSM module, a GPRS module, a CDMA module, a WCDMA module, a TD-SCDMA module and a LoRa module, and the data interconnection module prevents that data cannot be effectively transmitted between each device and the modules in real time when an accident occurs.
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 (4)
1. An intelligent building safety management system based on big data is characterized by comprising a data acquisition module, a data distribution module, a data calculation module, a data analysis module, a data discrimination module, a safety management module, a data interconnection module, a control module, a storage module, a warning device, a warning lamp and a fire alarm module;
the data acquisition module is used for acquiring safety information of the building in real time, the safety information of the building comprises glass curtain wall data, component strength data, smoke concentration in the building and temperature in the building, and the data acquisition module transmits the acquired safety information to the data distribution module; the data distribution module is used for receiving the safety information transmitted in the data acquisition module, the data distribution module transmits the glass curtain wall data in the safety information to the data calculation module, and the glass curtain wall data include the wind pressure index, the vibration index and the illumination index that the glass curtain wall bore, the data calculation module is after receiving the glass curtain wall data, begins to carry out analysis operation promptly, and concrete step is as follows:
the method comprises the following steps: acquiring a daily wind pressure index of each glass curtain wall in a first time period, defining the daily wind pressure index of each glass curtain wall as the duration of the wind pressure value born by each glass curtain wall in each day exceeding a preset value c, and calibrating the duration as Pij, i is 1.. n, j is 1.. m, wherein i corresponds to each glass curtain wall, j corresponds to each day, and when i is 2 and j is 1, P21 represents the wind pressure index of a second glass curtain wall in the first time period in the first day;
step two: acquiring a daily vibration index of each glass curtain wall in a first time period, defining the daily vibration index of each glass curtain wall as the duration of the daily vibration frequency value of each glass curtain wall exceeding a preset value s, and calibrating the duration as Qij, wherein i is 1.
Step three: acquiring an illumination index of each glass curtain wall every day in a period of time, defining the illumination index of each glass curtain wall every day as the duration of the illumination intensity of each glass curtain wall which exceeds a preset value d, and calibrating the duration as Wij, i is 1.. n, j is 1.. m, and Pij, Qij and Wij are in one-to-one correspondence;
step four: carrying out weight distribution on the influence ratios of Pij, Qij and Wij on the service life of the glass curtain walls in the first step to the third step, sequentially distributing the weight ratios to preset values p, q and w, and obtaining the loss coefficient of each glass curtain wall in each day in a period of time according to a formula Rij (Qij) q + Wij w + Pij);
step five: firstly according to the formula
The average loss coefficient of each glass curtain wall in the first time period is obtained, and then the average loss coefficient is obtained according to a formula
Obtaining the discrete degree of the loss coefficient of each glass curtain wall in the first time period;
the first time period is defined as the interval time from the first day of the previous month to the first day of the current month, and the data calculation module transmits Ti and Yi to the safety management module after acquiring Ti and Yi; the safety management module compares the Ti and the Yi with preset values t and y respectively when receiving the Ti and the Yi, generates an inspection signal for the glass curtain wall corresponding to the Ti or the Yi when the Ti is larger than the preset value t and the Yi is larger than the preset value y, generates a replacement signal for the glass curtain wall corresponding to the Ti or the Yi when the Ti is larger than the preset value t and the Yi is smaller than or equal to the preset value y, and transmits one of the inspection signal and the replacement signal to the control module; the control module transmits one of the inspection signal and the replacement signal to the data interconnection module when receiving the inspection signal and the replacement signal; the data interconnection module is used for receiving the inspection signal and the replacement signal and displaying the inspection signal and the replacement signal on a mobile phone of a worker, and the data interconnection module is in communication connection with the mobile phone of the worker; the control module is also used for transmitting the maintenance signal and the replacement signal to the storage module, and the storage module generates a work log table for storage after receiving the inspection signal and the replacement signal;
the data distribution module is used for receiving the safety information transmitted in the data acquisition module, the data distribution module transmits member strength data in the safety information to the data analysis module, the member strength data comprise stress values born by members, and the data analysis module starts to perform analysis operation after receiving the member strength data, and the specific steps are as follows:
the method comprises the following steps: and acquiring the mean stress value of each member in each day in the daily use process of the building in a second time period, and calibrating the mean stress value as Hij, i is 1.. n, j is 1.. m, wherein i represents the ith day, and j represents the jth member, and meanwhile, using a formula
Determining the daily working strength h of each componentjIndicating the standard working stress of the jth component;
step two: firstly according to the formula
To obtain the average working strength of a plurality of components in the second time period in each day according to the formula
Calculating the average value of the average working strength of the plurality of components in the second time period every day;
step three: firstly according to the formula
Obtaining the average work intensity discrete value of a plurality of components in the second time period in each day, and then obtaining the average work intensity discrete value according to the formula
Obtaining the average value of the average work intensity discrete values of a plurality of components in each day in the second time period, wherein Ai corresponds to Xi one by one;
step four: acquiring the deformation size of each member every day in the daily use process of the building in a second time period, and calibrating the deformation size as Kij, i is 1.. n, j is 1.. m;
the second time period is defined as the interval time from the first day of the previous year to the first day of the current year, and the data analysis module transmits the Ai, F, Xi, E and Kij to the safety management module when acquiring the Ai, F, Xi, E and Kij; the safety management module compares Ai with F, Xi and E, Kij with k after receiving Ai, F, Xi, E and Kij, wherein k is a preset value, when Kij is less than or equal to k, Ai is less than or equal to F and Xi is less than or equal to E, a component corresponding to Kij generates a low-intensity signal, when Kij is less than or equal to k, Ai is less than or equal to F and Xi is greater than E, a component corresponding to Kij generates a medium-intensity signal, when Kij is less than or equal to k, Ai is greater than F and Xi is greater than E, a component corresponding to Kij generates a high-intensity signal, when Kij is greater than k, the component corresponding to Kij generates a maintenance signal, and the safety management module is further used for transmitting the low-intensity signal, the medium-intensity signal, the high-intensity signal and the maintenance signal to the control module; the control module controls the warning device of the component corresponding to the maintenance signal to give an alarm when receiving the maintenance signal, controls the warning lamp of the component corresponding to the high-intensity signal to flash when receiving the high-intensity signal, is in communication connection with the warning device and the warning lamp, and simultaneously transmits the low-intensity signal, the medium-intensity signal, the high-intensity signal and the maintenance signal to the storage module; when the storage module receives the low-intensity signal, the medium-intensity signal, the high-intensity signal and the maintenance signal, marking the corresponding components from deep to shallow, and generating a maintenance log for storage;
the data distribution module is used for receiving the safety information transmitted in the data acquisition module, the data distribution module transmits the smoke concentration in the building and the temperature in the building in the safety information to the data judgment module, and the data judgment module starts to judge after receiving the smoke concentration in the building and the temperature in the building, and the specific steps are as follows:
the method comprises the following steps: acquiring a smoke concentration value in the air of each acquisition point in every minute in real time during building use, and calibrating the smoke concentration value as Uij, wherein i is 1.. n, j is 1.. m, i represents the ith minute, and j represents the jth acquisition point;
step two: acquiring a temperature value around each acquisition point in every minute in use of a building in real time, and calibrating the temperature value as Iij, i is 1.. n, j is 1.. m;
step three: the data discrimination module compares Uij and Iij with preset values v and r after acquiring a daily flue gas concentration value Uij and a daily temperature value Iij, generates a fire alarm signal together with Uij and Iij when the conditions that Uij is greater than the preset value v and Iij is greater than the preset value r are met, and generates an inspection signal when Uij is greater than any one of the preset value v and Iij is greater than the preset value r are met;
the data discrimination module is used for transmitting the fire alarm signal and the inspection signal to the safety management module; the safety management module transmits the fire alarm signal and the inspection signal to the control module when receiving the fire alarm signal and the inspection signal; the control module controls the alarm lamp of the acquisition point corresponding to the checking signal to flash when receiving the checking signal, transmits the fire alarm signal to the fire alarm module when receiving the fire alarm signal, and is also used for transmitting the fire alarm signal and the checking signal to the data interconnection module and the storage module; when receiving the fire alarm signal and the inspection signal, the data interconnection module sends the fire alarm signal and the inspection signal to a mobile phone of a manager for displaying; when the storage module receives the fire alarm signal and the checking signal, the fire alarm signal and the checking signal and corresponding dates are generated together into a fire information table for storage;
the fire alarm module is used for receiving a fire alarm signal, finding a fire facility near a corresponding acquisition point according to the fire alarm signal, opening a water sprayer and a falling fire door near the corresponding acquisition point, and sending a fire alarm to a fire department, wherein the fire alarm comprises smoke concentration and temperature data of the acquisition point, an address of a building, a unit of the building and occurrence time;
the big data analysis module is used for calling a working log table, a maintenance log and a fire information table stored in the storage module to summarize preset values c, s, d, p, q, w, t, y, hjAnd k, v and r are subjected to modeling calculation, a data adjusting signal is generated from an obtained result, and then the data adjusting signal is transmitted to a safety management module, and the safety management module receives the data adjusting signal and then sequentially adjusts each preset value.
2. The intelligent building safety management system based on big data of claim 1, characterized in that, the data acquisition module includes the sensor, the sensor includes wind pressure sensor, vibration sensor, light sensor, stressometer, deformation monitor, flue gas concentration sensor and temperature sensor, wind pressure sensor installs the outside center at each glass curtain wall, vibration sensor installs the corner at each glass curtain wall, light sensor installs the upper portion at each glass curtain wall, stressometer and deformation monitor install on each component of building, flue gas concentration sensor and temperature sensor evenly distributed are in the building.
3. The intelligent building safety management system based on big data as claimed in claim 1, wherein the big data analysis module further performs modeling analysis according to each item of data of the storage module, obtains an optimization scheme of the number and distribution positions of sensors required by the building, and publishes the optimization scheme.
4. The intelligent building safety management system based on big data of claim 1, wherein the data interconnection module comprises any one or more of a WiFi module, a GSM module, a GPRS module, a CDMA module, a WCDMA module, a TD-SCDMA module, and a LoRa module.
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