CN116452370A - Intelligent building environment safety management system based on multidimensional data - Google Patents
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Abstract
The invention discloses an intelligent building environment safety management system based on multidimensional data, and belongs to the technical field of intelligent buildings; by implementing monitoring and data statistics of different dimensions from the aspect of the building and the aspect of the surrounding environment, reliable data support can be provided for safety analysis and management of different positions of the subsequent building; the corresponding threat coefficients are obtained by integrating various data of different aspects of each subarea, and the screening and marking of the local different traffic state areas are realized by analyzing and classifying the threat coefficients, so that reliable data support can be provided for the dynamic management of the subsequent different subareas; the method and the device are used for solving the technical problems that in the existing scheme, monitoring and safety evaluation classification cannot be carried out on different positions of the surrounding environment of the building, dynamic maintenance is carried out on different positions according to classification results, and the overall effect of the safety management of the environment of the building is poor.
Description
Technical Field
The invention relates to the technical field of intelligent buildings, in particular to an intelligent building environment safety management system based on multidimensional data.
Background
The intelligent building means that the structure, the system, the service and the management of the building are optimally combined according to the requirements of users, so that a high-efficiency, comfortable and convenient humanized building environment is provided for the users; the building is closely related to the surrounding environment, which is both a constraint and a promoting factor for the building.
Most of the existing building environment safety management schemes are stopped at the time of implementation, and the abnormal passing environment is prompted by a prompt object or the passing is prevented by an obstacle, so that the intelligent scheme comprises single shooting and voice prompt by a shooting device; however, the monitoring and security assessment classification cannot be performed on different positions of the surrounding environment of the building, and dynamic maintenance is performed on the different positions according to the classification result, so that the overall effect of the security management of the environment of the building is poor.
Disclosure of Invention
The invention aims to provide an intelligent building environment safety management system based on multidimensional data, which is used for solving the technical problems that in the existing scheme, different positions of the surrounding environment of a building cannot be monitored and classified by safety evaluation, and dynamic maintenance is carried out on the different positions according to classification results, so that the overall effect of the building environment safety management is poor.
The aim of the invention can be achieved by the following technical scheme:
the intelligent building environment safety management system based on the multidimensional data comprises a building monitoring and dividing module, a monitoring and dividing module and a data processing module, wherein the building monitoring and dividing module is used for monitoring and data statistics of a building and surrounding environment from different dimensions to obtain a monitoring data set containing building data and environment data;
the monitoring data processing module is used for preprocessing each item of data in the monitoring data set and vertically integrating the data; comprising the following steps: acquiring building data and environment data in a monitoring data set;
obtaining a dividing ratio corresponding to the idle area according to the height and the width of the building, dividing the idle area according to the dividing ratio to obtain a plurality of subareas, numbering the subareas according to a preset arrangement sequence, and positioning and marking;
respectively constructing a temperature change curve, a humidity change curve and a wind power change curve according to the temperature data, the humidity data and the wind power data in the acquired environmental data, acquiring corresponding temperature threat areas, humidity threat areas and wind power threat areas according to the temperature change curve, the humidity change curve and the wind power change curve, and marking; extracting the numerical value of each item of marked data and carrying out simultaneous integration with the region weight corresponding to the sub-region to obtain threat coefficients corresponding to each sub-region around the building;
the monitoring safety analysis module is used for carrying out matching analysis on the threat coefficients obtained through integration to obtain monitoring analysis data comprising a first state signal, a second state signal and a selected area;
and the safety management module is used for carrying out dynamic early warning prompt and maintenance on the walking conditions of the personnel at different positions in the idle building area according to the monitoring analysis data.
Preferably, the step of monitoring the acquisition of the data set comprises: monitoring the building itself and counting data; acquiring the corresponding height and width of the building;
according to a preset dividing rule, the width and the length corresponding to the idle area in front of the building are calculated;
building data are formed by the height and width of the building and the width and length corresponding to the free area;
monitoring the environment around the building and performing data statistics;
monitoring the real-time temperature, the real-time humidity and the real-time wind power respectively through a plurality of sensors, and arranging and combining the real-time temperature, the real-time humidity and the real-time wind power according to the sequence of time to obtain temperature data, humidity data and wind power data;
the temperature data, the humidity data and the wind power data form environment data; the building data and the environmental data constitute a monitoring data set and are uploaded to a database.
Preferably, values of real-time temperature, real-time humidity and real-time wind power in the temperature data, the humidity data and the wind power data are extracted, the values are set as ordinate, and real-time Beijing time is set as abscissa to respectively construct a temperature change curve, a humidity change curve and a wind power change curve;
respectively marking the real-time temperature, the real-time humidity and the real-time wind power which are larger than the temperature threshold value, the humidity threshold value and the wind power threshold value as selected temperature, selected humidity and selected wind power, and respectively marking the time points which are larger than the occurrence time points as a first temperature time point, a first humidity time point and a first wind power time point;
and respectively marking the time points corresponding to the selected temperature, the selected humidity and the selected wind power which are not greater than the temperature threshold value, the humidity threshold value and the wind power threshold value as a second temperature time point, a second humidity time point and a second wind power time point.
Preferably, a first temperature time point and a second temperature time point, a first humidity time point and a second humidity time point, and a temperature threat area, a humidity threat area and a wind threat area respectively enclosed by the first wind time point and the second wind time point with a temperature threshold, a humidity threshold and a wind threshold are obtained.
Preferably, the step of acquiring the region weight corresponding to the sub-region includes:
counting and marking the number of abnormal walking population appearing in the history of the subareas; counting and marking the total times of the overhead falling objects appearing in the history of the subareas;
and extracting the numerical value of the total number of abnormal walking people and the total number of overhead objects appearing in the history of the subareas, and vertically integrating the numerical values in parallel to obtain the area weight corresponding to the subareas.
Preferably, abnormal walking includes, but is not limited to, falls, slips and trips; high altitude weighings include, but are not limited to, natural weighings and artificial throws.
Preferably, matching analysis is carried out on the threat coefficients obtained through integration and a preset threat threshold; if the threat coefficient is smaller than the threat lower threshold, judging that the safety state of the corresponding subarea is normal and generating a first state signal; if the threat coefficient is not smaller than the threat threshold, judging that the safety state of the corresponding subarea is abnormal, generating a second state signal, and marking the corresponding subarea as a selected area according to the second state signal; the first status signal, the second status signal and the selected area form monitoring analysis data and are uploaded to a database.
Preferably, the working steps of the security management module include:
traversing the monitoring analysis data corresponding to the plurality of subareas, and prompting the walking of the corresponding selected area setting personnel according to the second state signal if the traversing result is the second state signal;
and evaluating the traffic situation of the personnel in the selected areas after the prompt is set and implementing dynamic management and control.
Preferably, when monitoring the walking conditions of a plurality of selected areas; counting and marking the total number of traffic personnel in the selected area in sequence, and counting and marking the total number of abnormal walking persons in the selected area; extracting the numerical values of all marked data, and vertically integrating the numerical values to obtain the corresponding safety degree of the selected area; and evaluating the personnel traffic situation of the corresponding selected area according to the safety degree and implementing dynamic maintenance.
Preferably, the safety degree is matched with a preset safety threshold value;
if the safety degree is smaller than the safety threshold, judging that the passing situation of personnel in the corresponding selected area is normal, generating a positive signal, and maintaining the existing safety prompt according to the positive signal;
if the safety degree is not smaller than the safety threshold value, judging that the traffic situation of personnel corresponding to the selected area is abnormal, generating a traffic signal, and maintaining the traffic of the corresponding selected area according to the traffic signal.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, by implementing monitoring and data statistics of different dimensionalities from the aspect of the building and the aspect of the surrounding environment, reliable data support can be provided for safety analysis and management of different positions of the subsequent building; the corresponding threat coefficients are obtained by integrating various data of different aspects of each subarea, and the screening and marking of the local different traffic state areas are realized by analyzing and classifying the threat coefficients, so that reliable data support can be provided for the dynamic management of the subsequent different subareas; screening and classifying the traffic safety states of different sub-areas in the early stage, then carrying out targeted monitoring and analysis on the selected areas with large traffic safety hidden trouble after classification, and carrying out targeted management and maintenance according to analysis results; compared with the simple prompt by a prompt object or the measure of preventing passage by an obstacle in the prior art, the invention can implement more accurate and efficient monitoring and management and can effectively improve the overall effect of building environment safety management.
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The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a block diagram of a multi-dimensional data based intelligent building environmental security management system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the invention relates to an intelligent building environment safety management system based on multidimensional data, which comprises a building monitoring and dividing module, a monitoring data processing module, a monitoring safety analysis module, a safety management module and a database;
the building monitoring and dividing module is used for monitoring and data statistics of the building and surrounding environment from different dimensions to obtain a monitoring data set containing building data and environment data; comprising the following steps:
monitoring the building itself and counting data;
acquiring the corresponding height and width of the building;
according to a preset dividing rule, the width and the length corresponding to the idle area in front of the building are calculated;
building data are formed by the height and width of the building and the width and length corresponding to the free area;
monitoring the environment around the building and performing data statistics;
monitoring the real-time temperature, the real-time humidity and the real-time wind power respectively through a plurality of sensors, and arranging and combining the real-time temperature, the real-time humidity and the real-time wind power according to the sequence of time to obtain temperature data, humidity data and wind power data; the sensors can be a temperature sensor, a humidity sensor and a wind sensor respectively;
the temperature data, the humidity data and the wind power data form environment data; building data and environment data form a monitoring data set and are uploaded to a database;
in the embodiment of the invention, by implementing monitoring and data statistics of different dimensions from the aspect of the building and the aspect of the surrounding environment, reliable data support can be provided for safety analysis and management of different positions of the subsequent building.
The monitoring data processing module is used for preprocessing each item of data in the monitoring data set and vertically integrating the data; comprising the following steps:
acquiring building data and environment data in a monitoring data set;
obtaining a dividing ratio corresponding to the idle area according to the height and the width of the building, dividing the idle area according to the dividing ratio to obtain a plurality of subareas, numbering the subareas according to a preset arrangement sequence, and positioning and marking;
the larger the height and width of the building, the smaller the corresponding dividing proportion, and the larger the corresponding area of the divided subareas, the specific numerical value of the dividing proportion can be customized according to experience, and can also be set through building big data;
it should be noted that the height and width of the building can affect the division of a plurality of subsequent subareas, and the analysis and evaluation of the subareas in the aspect of ground safety state and high-altitude safety state;
acquiring temperature data, humidity data and wind power data in the environment data; extracting the real-time temperature, real-time humidity and real-time wind power values in the temperature data, the humidity data and the wind power data, setting the values as ordinate, and setting the real-time Beijing time as abscissa to respectively construct a temperature change curve, a humidity change curve and a wind power change curve;
the method comprises the steps of establishing a temperature change curve, a humidity change curve and a wind power change curve, wherein the aim of intuitively acquiring the change conditions of real-time temperature, real-time humidity and real-time wind power can be achieved, and data support can be provided for subsequent analysis and evaluation of abnormal temperature, abnormal humidity and abnormal wind power;
respectively matching the temperature change curve, the humidity change curve and the wind power change curve with corresponding temperature threshold values, humidity threshold values and wind power threshold values, respectively marking real-time temperatures, real-time humidity and real-time wind power which are larger than the temperature threshold values, the humidity threshold values and the wind power threshold values as selected temperatures, selected humidity and selected wind power, and respectively marking time points which are larger than the occurrence time points as a first temperature time point, a first humidity time point and a first wind power time point;
marking the time points corresponding to the selected temperature, the selected humidity and the selected wind power which are not greater than the temperature threshold value, the humidity threshold value and the wind power threshold value as a second temperature time point, a second humidity time point and a second wind power time point respectively;
acquiring a first temperature time point and a second temperature time point, a first humidity time point and a second humidity time point, and a temperature threat area, a humidity threat area and a wind threat area which are respectively enclosed by the first wind time point and the second wind time point with a temperature threshold value, a humidity threshold value and a wind threshold value and are marked as WS, SS and FS;
extracting the numerical values of all marked data, integrating the numerical values in parallel, and obtaining threat coefficients xi corresponding to all sub-areas around the building through calculation; the threat coefficient ζ is calculated according to the following formula:
ξ＝QQ×[w1×|WS-WS0|+w2×(SS-SS0)+w3×(FS-FS0)]；
wherein w1, w2 and w3 are preset different proportion coefficients, w1 is more than 0 and less than w2 and less than w3, w1 can take on the value of 0.574, w2 can take on the value of 1.685, and w3 can take on the value of 3.744; WS0 is a preset temperature area threshold, SS0 is a preset humidity area threshold, and FS0 is a preset wind area threshold; QQ is the regional weight corresponding to the subregion;
the threat coefficient is a numerical value for integrating environmental data of all aspects of different subareas to integrally evaluate the traffic safety state of the subareas; the greater the threat coefficient, the greater the potential safety hazard of the corresponding sub-region;
the lower the temperature, the higher the humidity and the higher the wind force, the more the risk of falling, slipping and tripping and being hit by high-altitude objects is increased when personnel pass, and the less the passing safety state of the corresponding subarea is;
the step of acquiring the region weight corresponding to the sub-region comprises the following steps:
counting the number of abnormal walking population appearing in the history of the subareas and marking as FR; abnormal walking includes, but is not limited to, falls, slips, and trips;
counting the total times of the overhead falling objects appearing in the history of the subareas and marking the total times as ZZ; high altitude weighings include, but are not limited to, natural weighings and artificial throws; the monitoring statistics of abnormal walking and high-altitude falling objects can be obtained by shooting and analyzing based on the existing shooting device, and specific steps are not described in detail here;
the method comprises the steps of extracting the values of the total number of abnormal walking people and the total number of overhead falling objects appearing in a subarea history, integrating the values in parallel, and obtaining the area weight QQ corresponding to the subarea through calculation; the calculation formula of the region weight QQ is:
QQ＝g1×FR+g2×ZZ+1；
wherein g1 and g2 are preset different proportion coefficients, and g1 is more than 1 and g2 is more than 1; g1 can take on a value of 1.523 and g2 can take on a value of 2.472;
the regional weight is a numerical value for integrating the historical personnel traffic data of different subregions to integrally evaluate the regional safety state; the larger the area weight is, the poorer the area safety state of the corresponding subarea is;
the monitoring safety analysis module is used for carrying out matching analysis on the integrated result to judge whether the building has safety abnormality and the corresponding abnormality degree; comprising the following steps:
matching and analyzing the threat coefficient obtained by integration with a preset threat threshold;
if the threat coefficient is smaller than the threat lower threshold, judging that the safety state of the corresponding subarea is normal and generating a first state signal;
if the threat coefficient is not smaller than the threat threshold, judging that the safety state of the corresponding subarea is abnormal, generating a second state signal, and marking the corresponding subarea as a selected area according to the second state signal;
the first state signal, the second state signal and the selected area form monitoring analysis data and are uploaded to a database;
in the embodiment of the invention, the threat coefficients obtained by integrating the subareas are analyzed and classified to realize the screening and marking of the local areas with different traffic states, so that reliable data support can be provided for the dynamic management of the subsequent different subareas, and the overall effect of the safety management of the building environment can be effectively improved.
The security management module is used for controlling the security management module, the system is used for carrying out dynamic early warning prompt and maintenance on the walking conditions of personnel at different positions in the idle area of the building according to the monitoring analysis data; comprising the following steps:
traversing the monitoring analysis data corresponding to the plurality of subareas, and prompting the walking of the corresponding selected area setting personnel according to the second state signal if the traversing result is the second state signal;
evaluating the traffic situation of a plurality of selected regional personnel after the prompt is set, and implementing dynamic management and control; monitoring walking conditions of a plurality of selected areas;
counting the total number of traffic personnel in the selected area in sequence, marking the total number as TR, and marking the total number of abnormal walking people in the selected area as TS; extracting the numerical values of all the marked data, integrating the numerical values in parallel, and obtaining the safety delta corresponding to the selected area through calculation; the calculation formula of the safety delta is as follows:
wherein, the total number TS of abnormal walking people can take a value of 0; the greater the safety, the higher the risk of the corresponding selected area, and the more targeted implementation management and maintenance are needed;
when the corresponding personnel passing situation of the selected area is evaluated according to the safety degree, the safety degree is matched with a preset safety threshold value;
if the safety degree is smaller than the safety threshold, judging that the passing situation of personnel in the corresponding selected area is normal, generating a positive signal, and maintaining the existing safety prompt according to the positive signal;
if the safety degree is not smaller than the safety threshold value, judging that the traffic situation of personnel corresponding to the selected area is abnormal, generating a traffic signal, and maintaining the traffic of the corresponding selected area according to the traffic signal.
In the embodiment of the invention, the passing safety states of different sub-areas in the early stage are screened and classified, then the selected areas with large passing safety hidden trouble after classification are subjected to targeted monitoring and analysis, and targeted management, control and maintenance are carried out according to the analysis result; compared with the simple prompt by a prompt object or the measure of preventing traffic by an obstacle in the existing scheme, the embodiment of the invention can implement more accurate and efficient monitoring and management, and can effectively improve the overall effect of building environment safety management.
In addition, the formulas related in the above description are all formulas with dimensions removed and numerical values calculated, and are a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and the proportionality coefficient in the formulas and each preset threshold value in the analysis process are set by a person skilled in the art according to the actual situation or are obtained through training of a large amount of data.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in hardware plus software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (10)
1. The intelligent building environment safety management system based on the multidimensional data is characterized by comprising a building monitoring and dividing module, wherein the building monitoring and dividing module is used for monitoring and data statistics of a building and surrounding environment from different dimensions to obtain a monitoring data set containing building data and environment data;
the monitoring data processing module is used for preprocessing each item of data in the monitoring data set and vertically integrating the data; comprising the following steps: acquiring building data and environment data in a monitoring data set;
obtaining a dividing ratio corresponding to the idle area according to the height and the width of the building, dividing the idle area according to the dividing ratio to obtain a plurality of subareas, numbering the subareas according to a preset arrangement sequence, and positioning and marking;
respectively constructing a temperature change curve, a humidity change curve and a wind power change curve according to the temperature data, the humidity data and the wind power data in the acquired environmental data, acquiring corresponding temperature threat areas, humidity threat areas and wind power threat areas according to the temperature change curve, the humidity change curve and the wind power change curve, and marking; extracting the numerical value of each item of marked data and carrying out simultaneous integration with the region weight corresponding to the sub-region to obtain threat coefficients corresponding to each sub-region around the building;
the monitoring safety analysis module is used for carrying out matching analysis on the threat coefficients obtained through integration to obtain monitoring analysis data comprising a first state signal, a second state signal and a selected area;
and the safety management module is used for carrying out dynamic early warning prompt and maintenance on the walking conditions of the personnel at different positions in the idle building area according to the monitoring analysis data.
2. The intelligent building environmental security management system based on multidimensional data of claim 1, wherein the step of monitoring the acquisition of the data set comprises: monitoring the building itself and counting data; acquiring the corresponding height and width of the building;
according to a preset dividing rule, the width and the length corresponding to the idle area in front of the building are calculated;
building data are formed by the height and width of the building and the width and length corresponding to the free area;
monitoring the environment around the building and performing data statistics;
monitoring the real-time temperature, the real-time humidity and the real-time wind power respectively through a plurality of sensors, and arranging and combining the real-time temperature, the real-time humidity and the real-time wind power according to the sequence of time to obtain temperature data, humidity data and wind power data;
the temperature data, the humidity data and the wind power data form environment data; the building data and the environmental data constitute a monitoring data set and are uploaded to a database.
3. The intelligent building environmental safety management system based on multidimensional data according to claim 1, wherein values of real-time temperature, real-time humidity and real-time wind power in temperature data, humidity data and wind power data are extracted and set as ordinate, and real-time Beijing time is set as abscissa to respectively construct a temperature change curve, a humidity change curve and a wind power change curve;
respectively marking the real-time temperature, the real-time humidity and the real-time wind power which are larger than the temperature threshold value, the humidity threshold value and the wind power threshold value as selected temperature, selected humidity and selected wind power, and respectively marking the time points which are larger than the occurrence time points as a first temperature time point, a first humidity time point and a first wind power time point;
and respectively marking the time points corresponding to the selected temperature, the selected humidity and the selected wind power which are not greater than the temperature threshold value, the humidity threshold value and the wind power threshold value as a second temperature time point, a second humidity time point and a second wind power time point.
4. A multi-dimensional data based intelligent building environmental security management system according to claim 3, wherein a first temperature time point and a second temperature time point, a first humidity time point and a second humidity time point, a first wind time point and a second wind time point respectively enclose a temperature threat area, a humidity threat area and a wind threat area with a temperature threshold, a humidity threshold and a wind threshold are obtained.
5. The intelligent building environmental security management system based on multidimensional data according to claim 1, wherein the step of acquiring the regional weight corresponding to the subarea comprises:
counting and marking the number of abnormal walking population appearing in the history of the subareas; counting and marking the total times of the overhead falling objects appearing in the history of the subareas; and extracting the numerical value of the total number of abnormal walking people and the total number of overhead objects appearing in the history of the subareas, and vertically integrating the numerical values in parallel to obtain the area weight corresponding to the subareas.
6. An intelligent building environmental safety management system based on multidimensional data as recited in claim 5, wherein abnormal walking includes, but is not limited to, falls, slips, and trips; high altitude weighings include, but are not limited to, natural weighings and artificial throws.
7. The intelligent building environmental safety management system based on multidimensional data according to claim 1, wherein the threat coefficients obtained through integration are subjected to matching analysis with a preset threat threshold; if the threat coefficient is smaller than the threat lower threshold, judging that the safety state of the corresponding subarea is normal and generating a first state signal; if the threat coefficient is not smaller than the threat threshold, judging that the safety state of the corresponding subarea is abnormal, generating a second state signal, and marking the corresponding subarea as a selected area according to the second state signal; the first status signal, the second status signal and the selected area form monitoring analysis data and are uploaded to a database.
8. The intelligent building environmental security management system based on multidimensional data of claim 1, wherein the working steps of the security management module comprise:
traversing the monitoring analysis data corresponding to the plurality of subareas, and prompting the walking of the corresponding selected area setting personnel according to the second state signal if the traversing result is the second state signal;
and evaluating the traffic situation of the personnel in the selected areas after the prompt is set and implementing dynamic management and control.
9. The intelligent building environmental security management system based on multidimensional data of claim 8, wherein when monitoring the ambulatory condition of a plurality of selected areas; counting and marking the total number of traffic personnel in the selected area in sequence, and counting and marking the total number of abnormal walking persons in the selected area; extracting the numerical values of all marked data, and vertically integrating the numerical values to obtain the corresponding safety degree of the selected area; and evaluating the personnel traffic situation of the corresponding selected area according to the safety degree and implementing dynamic maintenance.
10. The intelligent building environmental security management system based on multidimensional data of claim 9, wherein the degree of security is matched with a preset security threshold;
if the safety degree is smaller than the safety threshold, judging that the passing situation of personnel in the corresponding selected area is normal, generating a positive signal, and maintaining the existing safety prompt according to the positive signal;
if the safety degree is not smaller than the safety threshold value, judging that the traffic situation of personnel corresponding to the selected area is abnormal, generating a traffic signal, and maintaining the traffic of the corresponding selected area according to the traffic signal.
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| CN117474178B (en) * | 2023-12-25 | 2024-04-12 | 深圳市上融科技有限公司 | Intelligent space management optimization system and method |
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