CN115291555B - Intelligent building digital information management system based on Internet - Google Patents
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Abstract
The invention discloses an intelligent building digital information management system based on the Internet, which comprises: the system comprises a building information acquisition module, an information management center, a monitoring information analysis module, an illumination monitoring management module and an energy consumption monitoring management module, wherein the building information acquisition module is used for acquiring historical illumination monitoring data and historical energy consumption data of a building, all the acquired data are transmitted to the information management center through the Internet, all the acquired data are stored and managed through the information management center, illumination frequencies of different areas in the building are analyzed through the monitoring information analysis module, normal energy consumption values of the different areas are predicted, the areas are classified through the illumination monitoring management module, illumination monitoring information of the same type of areas is controlled to be displayed in a concentrated mode, the energy consumption abnormal areas are monitored in a concentrated mode through the energy consumption monitoring management module, the concentrated monitoring duration is planned, the starting efficiency of the illumination equipment of the unmanned area is improved, and the building energy conservation is facilitated.
Description
Technical Field
The invention relates to the technical field of building information management, in particular to an intelligent building digital information management system based on the Internet.
Background
The intelligent building organically integrates the system through a communication network, integrates the structure, the system, the service, the management and the optimization combination among the system, so that the building has the characteristics of safety, convenience, high efficiency and energy conservation, thereby effectively ensuring comfortable working environment in the building, realizing the purposes of saving energy, saving maintenance and management work and running cost, and the building automation system is responsible for and manages a large amount of work, including monitoring and management work on a lighting system and an energy consumption system, and effectively managing information generated by the monitoring work, thereby bringing great convenience to the monitoring work;
however, the existing building digital information management method has the following problems: firstly, in the aspect of illumination information management, the illumination devices in different areas in a building are turned on to be turned off and turned off to be turned on at different time, sometimes, the phenomenon that the illumination devices in an unmanned area are still turned on exists, the existing illumination information management usually collects illumination device monitoring information by a central monitoring system and performs on-off control, a large amount of illumination device monitoring information needs to be integrated in a wide-range area, and the prior art cannot integrate similar monitoring information to help to quickly and conveniently realize on-off of the illumination devices and cannot play a role in saving energy; secondly, in the aspect of energy consumption monitoring, because abnormal energy consumption monitoring information is scattered, the method is not beneficial to centralized monitoring of the area generating abnormal energy consumption.
Therefore, there is a need for an internet-based intelligent building digital information management system to solve the above problems.
Disclosure of Invention
The invention aims to provide an intelligent building digital information management system based on the Internet, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: an internet-based intelligent building digital information management system, the system comprising: building information acquisition module, information management center, monitoring information analysis module, illumination monitoring management module and energy consumption monitoring management module;
collecting historical illumination monitoring data and historical energy consumption data of a building through the building information collecting module, and transmitting all collected data to the information management center through the Internet;
storing and managing all collected data through the information management center;
analyzing the illumination frequencies of different areas in the building through the monitoring information analysis module, and predicting the normal energy consumption values of the different areas;
classifying the areas through the illumination monitoring management module, and controlling illumination monitoring information of the same type of areas to be displayed in a centralized manner;
and the energy consumption monitoring management module is used for carrying out centralized monitoring on the areas with abnormal energy consumption and planning centralized monitoring duration.
Further, the building information acquisition module comprises an illumination data acquisition unit and an energy consumption data acquisition unit, the building is divided into n areas, and the illumination data acquisition unit is used for acquiring interval time data of the illumination equipment of the n areas for opening and closing for a plurality of times; the energy consumption data acquisition unit is used for acquiring the central position data of the n areas and the historical energy consumption data of the n areas, and transmitting all acquired data to the information management center.
Further, the monitoring information analysis module comprises an illumination frequency analysis unit and an energy consumption abnormality analysis unit, wherein the illumination frequency analysis unit is used for calling interval time data of the illumination equipment for opening and closing for a plurality of times and analyzing the illumination frequency of each area; the energy consumption abnormality analysis unit is used for calling historical energy consumption data and analyzing the normal energy consumption value of each area.
Further, the illumination monitoring management module comprises a monitoring area classification unit and a monitoring information integration unit, wherein the monitoring area classification unit is used for classifying n monitored areas according to illumination frequencies and classifying the areas with the same illumination frequency into one type; the monitoring information integration unit is used for intensively displaying illumination monitoring information according to the classification result: and dividing the display area, and displaying the illumination monitoring information of the same type of area through the same display area.
Further, the energy consumption monitoring management module comprises an abnormal time prediction unit and a monitoring duration management unit, wherein the abnormal time prediction unit is used for monitoring the current energy consumption of the area, comparing a normal energy consumption value with the current energy consumption value, screening out an area with abnormal energy consumption, carrying out centralized monitoring on the screened area with abnormal energy consumption, and predicting the abnormal energy consumption maintenance duration; and the monitoring duration management unit is used for canceling the centralized monitoring of the corresponding area after the monitoring duration exceeds the predicted duration and the energy consumption of the area is recovered to be normal.
Further, historical data is collected: the collection of the times of starting the lighting equipment of n areas is A= { A1, A2, …, an } in the same time period, the times of turning off the lighting equipment is the same as the times of starting, the collection of the interval time of starting and stopping the lighting equipment of two random areas is B= { B1, B2, …, bi, …, bp }, B ' = { B1', B2', …, bj ', …, bq ' }, wherein p=2Ai-1, p is more than or equal to 2, q=2Aj-1, q is more than or equal to 2, ai and Aj respectively represent the times of starting the lighting equipment of the corresponding two areas, and the lighting equipment on-off property equations of the random two areas are respectively set as follows: y=a1x+b1, y=a2x+b2, where a1 and a2 represent the slopes of two straight lines expressed by the luminaire switching property equations corresponding to the two regions,
b1 and b2 represent the intercept of two straight lines, respectively, < >>
Calculating the first difference coefficient s of the illumination frequencies of the random two areas according to the following formula f1 And a second coefficient of difference s f2 ：
s f1 ＝a1-a2；
s f2 ＝b1-b2；
Bi and Bj' respectively represent the interval duration of random on-off of the lighting equipment corresponding to the two areas, i=1, 2, …, p, j=1, 2, … and q, and the purpose of calculating the lighting frequency difference coefficient between the areas is to intensively display the monitoring information of the lighting equipment of the areas with the same lighting frequency, so that the centralized monitoring of the lighting equipment of the areas with the same lighting frequency is facilitated, the speed that related people observe that no person is in the areas but the lighting equipment is started is accelerated, the time that no person is in the areas but the lighting equipment is started and maintained is reduced, the energy-saving effect is achieved, and the difficulty of controlling the switching of the lighting equipment at different times is reduced.
Further, the illumination frequency difference coefficients corresponding to the two areas are compared: if s f1 Not equal to 0 or s f2 Not equal to 0, and judging that the illumination frequencies of the two corresponding areas are different; if s f1 =0 and s f2 =0, judging that the illumination frequencies corresponding to the two areas are the same, and displaying the illumination monitoring information corresponding to the two areas in a centralized manner: the illumination monitoring information of the corresponding two areas is divided into the same monitoring display area for display, the illumination frequency difference coefficients of the n areas are compared in the same mode, and the illumination monitoring information of the areas with the same illumination frequency is displayed in a centralized mode.
Further, historical energy consumption data are collected: collecting a set of energy consumption values of a random area every day as M= { M1, M2, …, mk }, wherein Mk represents the energy consumption value of the corresponding area on the kth day, and the energy consumption value is not beyond the energy consumption threshold of the corresponding area according to a formula
Calculating a normal energy consumption value M' of one day of the corresponding area, and monitoring the current energy consumption of the corresponding area: if the current energy consumption value is monitored to exceed M', the abnormal energy consumption of the corresponding area is indicated, the area with abnormal energy consumption is screened out in the same way, and the screened area with abnormal energy consumption is monitored in a centralized way: when the energy consumption abnormality occurs in the selected random area in the past, the monitored initial abnormal energy consumption value set is D= { D1, D2, …, dm }, the energy consumption abnormality maintenance duration set is t= { t1, t2, …, tm }, wherein m represents the number of times that the energy consumption abnormality occurs in the corresponding selected area is monitored, the current monitored initial abnormal energy consumption value of the corresponding area is D, and straight line fitting is carried out on data points { (D1, t 1), (D2, t 2), …, (Dm, tm) }, so that a fitting function is obtained: y=e1x+e2, where E1 and E2 represent fitting coefficients, and the energy consumption abnormality maintenance duration T of the corresponding region is predicted according to the following formula:
T＝E1*d+E2；
after the monitoring duration exceeds T and the energy consumption of the corresponding area returns to the normal energy consumption value, the centralized monitoring of the corresponding area is canceled, and the purpose of predicting the duration of the abnormal maintenance of the energy consumption of the area is to plan the duration of the key monitoring of the corresponding area, so that the monitoring efficiency in a short period of time when the energy consumption of the corresponding area is abnormal is improved, the duration of invalid monitoring is reduced, and the monitoring work is balanced.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, through big data acquisition and analysis of historical illumination monitoring data and historical energy consumption data of a building, illumination frequencies of illumination devices in different areas are analyzed, monitoring information of the illumination devices in areas with small differences is displayed in a centralized manner, centralized monitoring of the illumination devices in the areas with the same illumination frequencies is facilitated, the speed of observing the phenomenon that people are not in the areas but the illumination devices are started in the areas by related personnel is accelerated, the time of starting and maintaining the illumination devices in the areas is reduced, the energy consumption of the illumination devices of the building is saved, and the difficulty of controlling the on-off of the illumination devices in different time is reduced; the duration of the corresponding area is monitored in a key way through the duration planning of the maintenance of the abnormal energy consumption of the predicted area, so that the monitoring efficiency of the corresponding area in a short period of time when the energy consumption of the corresponding area is abnormal is improved, the duration of ineffective monitoring is reduced, and the monitoring work is balanced.
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The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a block diagram of an intelligent building digital information management system based on the internet of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Referring to fig. 1, the present invention provides the following technical solutions: an intelligent building digital information management system based on the Internet, the system comprises: building information acquisition module, information management center, monitoring information analysis module, illumination monitoring management module and energy consumption monitoring management module;
collecting historical illumination monitoring data and historical energy consumption data of a building through a building information collecting module, and transmitting all collected data to an information management center through the Internet;
storing and managing all collected data through an information management center;
analyzing the illumination frequencies of different areas in the building through a monitoring information analysis module, and predicting the normal energy consumption values of the different areas;
classifying the areas through an illumination monitoring management module, and controlling illumination monitoring information of the same type of areas to be displayed in a centralized manner;
and carrying out centralized monitoring on the areas with abnormal energy consumption through an energy consumption monitoring management module and planning centralized monitoring duration.
The building information acquisition module comprises an illumination data acquisition unit and an energy consumption data acquisition unit, the building is divided into n areas, and the illumination data acquisition unit is used for acquiring interval time data of the n areas for opening and closing illumination equipment for a plurality of times; the energy consumption data acquisition unit is used for acquiring the central position data of the n areas and the historical energy consumption data of the n areas, and transmitting all acquired data to the information management center.
The monitoring information analysis module comprises an illumination frequency analysis unit and an energy consumption abnormality analysis unit, wherein the illumination frequency analysis unit is used for calling interval time data of the illumination equipment for opening and closing for a plurality of times and analyzing the illumination frequency of each area; the energy consumption abnormality analysis unit is used for calling historical energy consumption data and analyzing the normal energy consumption value of each area.
The illumination monitoring management module comprises a monitoring area classification unit and a monitoring information integration unit, wherein the monitoring area classification unit is used for classifying n monitored areas according to illumination frequencies and classifying the areas with the same illumination frequency into one type; the monitoring information integration unit is used for carrying out centralized display on illumination monitoring information according to the classification result: and dividing the display area, and displaying the illumination monitoring information of the same type of area through the same display area.
The energy consumption monitoring management module comprises an abnormal time prediction unit and a monitoring duration management unit, wherein the abnormal time prediction unit is used for monitoring the current energy consumption of the area, comparing a normal energy consumption value with the current energy consumption value, screening out an area with abnormal energy consumption, carrying out centralized monitoring on the screened area with abnormal energy consumption, and predicting the abnormal energy consumption maintenance duration; the monitoring duration management unit is used for canceling the centralized monitoring of the corresponding area after the monitoring duration exceeds the predicted duration and the energy consumption of the area is recovered to be normal.
Collecting historical data: the set of the times of starting the lighting equipment of n areas is A= { A1, A2, …, an } in the same time period, the times of turning off the lighting equipment is the same as the times of starting, and the set of the interval time of starting and stopping the lighting equipment of two random areas is B= { B1, B2, …, bi, …, bp }, B ' = { B1', B2', …, bj ', …, bq ' }, wherein p=2Ai-1, p is more than or equal to 2, q=2Aj-1, q is more than or equal to 2, ai and Aj represents the number of times of turning on the lighting device corresponding to the two areas, and the lighting device switching property equations for setting the random two areas are respectively: y=a1x+b1, y=a2x+b2, where a1 and a2 represent the slopes of two straight lines expressed by the luminaire switching property equations corresponding to the two regions,
b1 and b2 represent the intercept of two straight lines, respectively, < >>
Calculating the first difference coefficient s of the illumination frequencies of the random two areas according to the following formula f1 And a second coefficient of difference s f2 ：
s f1 ＝a1-a2；
s f2 ＝b1-b2；
Wherein Bi and Bj' respectively represent the interval duration of random on-off of the lighting devices corresponding to two areas, i=1, 2, …, p, j=1, 2, …, q, which helps to reduce the time that no person is in the areas but the lighting devices are on and maintained, has energy-saving effect, and reduces the difficulty of controlling the on-off of the lighting devices at different times.
Comparing the illumination frequency difference coefficients corresponding to the two regions: if s f1 Not equal to 0 or s f2 Not equal to 0, and judging that the illumination frequencies of the two corresponding areas are different; if s f1 =0 and s f2 =0, judging that the illumination frequencies corresponding to the two areas are the same, and displaying the illumination monitoring information corresponding to the two areas in a centralized manner: the illumination monitoring information of the corresponding two areas is divided into the same monitoring display area for display, the illumination frequency difference coefficients of the n areas are compared in the same mode, and the illumination monitoring information of the areas with the same illumination frequency is displayed in a centralized mode.
Collecting historical energy consumption data: collecting a set of energy consumption values of a random area every day as M= { M1, M2, …, mk }, wherein Mk represents the energy consumption value of the corresponding area on the kth day, and the energy consumption value is not beyond the energy consumption threshold of the corresponding area according to a formula
Calculating a normal energy consumption value M' of one day of the corresponding area, and monitoring the current energy consumption of the corresponding area: if the current energy consumption value is monitored to exceed M', the energy consumption abnormality of the corresponding area is described, the area with the abnormal energy consumption is screened out in the same mode, and the screened area with the abnormal energy consumption is monitored in a centralized mode: when the energy consumption abnormality occurs in the selected random area in the past, the monitored initial abnormal energy consumption value set is D= { D1, D2, …, dm }, the energy consumption abnormality maintenance duration set is t= { t1, t2, …, tm }, wherein m represents the number of times that the energy consumption abnormality occurs in the corresponding selected area is monitored, the current monitored initial abnormal energy consumption value of the corresponding area is D, and straight line fitting is carried out on data points { (D1, t 1), (D2, t 2), …, (Dm, tm) }, so that a fitting function is obtained: y=e1x+e2, where E1 and E2 represent fitting coefficients, and the energy consumption abnormality maintenance duration T of the corresponding region is predicted according to the following formula:
T＝E1*d+E2；
after the monitoring duration exceeds T and the energy consumption of the corresponding area is recovered to a normal energy consumption value, the centralized monitoring of the corresponding area is canceled, the monitoring efficiency of the corresponding area in a short period of time when the energy consumption of the corresponding area is abnormal is improved, the duration of invalid monitoring is reduced, and the monitoring work is balanced.
Embodiment one: collecting historical data: the collection of the times of starting the lighting equipment of 3 areas is A= { A1, A2, A3} = {2, 5}, the collection of the interval time of starting the lighting equipment of the first area is B= { B1, B2, B3} = {4,1,3}, and the collection of the interval time of starting the lighting equipment of the second area is B '= { B1', B2', B3' } = {4,1,3}, the unit is: the lighting device switching property equations for the two random areas are set as follows:
according to formula s f1 =a1-a 2 and s f2 Calculation of illumination of first and second regions =b1-b 2First difference coefficient s of frequency f1 =a1-a2=0, a second coefficient of difference s f2 ＝b1-b2＝0，s f1 =0 and s f2 =0, judging that the illumination frequencies of the first area and the second area are the same, and displaying the illumination monitoring information of the two areas in a centralized way;
embodiment two: the screened areas with abnormal energy consumption are monitored in a centralized way: when the energy consumption abnormality occurs in the screened random area in the past, the monitored initial abnormal energy consumption value set is D= { D1, D2, D3} = {10, 20, 15}, the energy consumption abnormality maintenance duration set is t= { t1, t2, t3} = {2,1,3}, and the unit is: the initial abnormal energy consumption value of the corresponding area monitored currently is obtained to be d=18, and straight line fitting is carried out on data points { (D1, t 1), (D2, t 2), (D3, t 3) }, so that a fitting function is obtained: y=e1x+e2,
and predicting the energy consumption abnormality maintaining time length T=1.7 of the corresponding region according to a formula T=E1×d+E2, and after the monitoring time length exceeds 1.7 hours and the energy consumption of the corresponding region is recovered to a normal energy consumption value, removing the centralized monitoring of the corresponding region.
Finally, it should be noted that: the foregoing is merely a preferred example of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. Intelligent building digital information management system based on internet, its characterized in that: the system comprises: building information acquisition module, information management center, monitoring information analysis module, illumination monitoring management module and energy consumption monitoring management module;
collecting historical illumination monitoring data and historical energy consumption data of a building through the building information collecting module, and transmitting all collected data to the information management center through the Internet;
storing and managing all collected data through the information management center;
analyzing the illumination frequencies of different areas in the building through the monitoring information analysis module, and predicting the normal energy consumption values of the different areas;
classifying the areas through the illumination monitoring management module, and controlling illumination monitoring information of the same type of areas to be displayed in a centralized manner;
the energy consumption monitoring management module is used for carrying out centralized monitoring on the areas with abnormal energy consumption and planning centralized monitoring duration;
the building information acquisition module comprises an illumination data acquisition unit and an energy consumption data acquisition unit, the building is divided into n areas, and the illumination data acquisition unit is used for acquiring interval time data of the illumination equipment of the n areas for opening and closing for a plurality of times; the energy consumption data acquisition unit is used for acquiring the central position data of n areas and the historical energy consumption data of n areas, and transmitting all acquired data to the information management center;
the monitoring information analysis module comprises an illumination frequency analysis unit and an energy consumption abnormality analysis unit, wherein the illumination frequency analysis unit is used for calling interval time data of the illumination equipment for opening and closing for a plurality of times and analyzing the illumination frequency of each area; the energy consumption abnormality analysis unit is used for calling historical energy consumption data and analyzing the normal energy consumption value of each area;
the illumination monitoring management module comprises a monitoring area classification unit and a monitoring information integration unit, wherein the monitoring area classification unit is used for classifying n monitored areas according to illumination frequencies and classifying the areas with the same illumination frequency into one type; the monitoring information integration unit is used for intensively displaying illumination monitoring information according to the classification result: dividing a display area, and displaying illumination monitoring information of the same type of area through the same display area;
collecting historical data: the number of times of starting the lighting equipment of n areas is collected to be A= { A1, A2, …, an } within the same time period, the number of times of turning off the lighting equipment is the same as the number of times of starting, and the interval duration sets of starting and stopping the lighting equipment of two random areas for a plurality of times are collected to be B= { B1, B2, …, bi, …, bp } and B respectively ’ ={B1 ’ ，B2 ’ ，…，Bj ’ ，…，Bq ’ P=2ai-1, p is greater than or equal to 2, q=2aj-1, q is greater than or equal to 2, ai and Aj respectively represent the number of times the lighting device corresponding to the two areas is turned on, and the lighting device switching property equations of the random two areas are set as follows: y=a1x+b1, y=a2x+b2, where a1 and a2 represent the slopes of two straight lines expressed by the luminaire switching property equations corresponding to the two regions,
，
b1 and b2 represent the intercept of two straight lines, respectively, +.>
，
Calculating the first difference coefficient s of the illumination frequencies of the random two areas according to the following formula f1 And a second coefficient of difference s f2 ：
Wherein Bi and Bj ’ The interval duration of the random on-off of the lighting devices corresponding to the two areas is shown as i=1, 2, …, p, j=1, 2, …, q.
2. The internet-based intelligent building digital information management system according to claim 1, wherein: the energy consumption monitoring management module comprises an abnormal time prediction unit and a monitoring duration management unit, wherein the abnormal time prediction unit is used for monitoring the current energy consumption of the area, comparing a normal energy consumption value with the current energy consumption value, screening out an energy consumption abnormal area, carrying out centralized monitoring on the screened out energy consumption abnormal area, and predicting the energy consumption abnormal maintenance duration; and the monitoring duration management unit is used for canceling the centralized monitoring of the corresponding area after the monitoring duration exceeds the predicted duration and the energy consumption of the area is recovered to be normal.
3. The internet-based intelligent building digital information management system according to claim 1, wherein: comparing the illumination frequency difference coefficients corresponding to the two regions: if s f1 Not equal to 0 or s f2 Not equal to 0, and judging that the illumination frequencies of the two corresponding areas are different; if s f1 =0 and s f2 =0, judging that the illumination frequencies corresponding to the two areas are the same, and displaying the illumination monitoring information corresponding to the two areas in a centralized manner: the illumination monitoring information of the corresponding two areas is divided into the same monitoring display area for display, the illumination frequency difference coefficients of the n areas are compared in the same mode, and the illumination monitoring information of the areas with the same illumination frequency is displayed in a centralized mode.
4. The internet-based intelligent building digital information management system according to claim 2, wherein: collecting historical energy consumption data: collecting a set of energy consumption values of a random area every day as M= { M1, M2, …, mk }, wherein Mk represents the energy consumption value of the corresponding area on the kth day, and the energy consumption value is not beyond the energy consumption threshold of the corresponding area according to a formula
Calculating a normal energy consumption value M of one day of the corresponding region ’ Monitoring the current energy consumption of the corresponding areaAnd (3) control: if the current energy consumption value is monitored to exceed M ’ The abnormal energy consumption of the corresponding areas is described, the areas with abnormal energy consumption are screened out in the same mode, and the screened areas with abnormal energy consumption are monitored in a centralized mode: when the energy consumption abnormality occurs in the selected random area in the past, the monitored initial abnormal energy consumption value set is D= { D1, D2, …, dm }, the energy consumption abnormality maintenance duration set is t= { t1, t2, …, tm }, wherein m represents the number of times that the energy consumption abnormality occurs in the corresponding selected area is monitored, the current monitored initial abnormal energy consumption value of the corresponding area is D, and straight line fitting is carried out on data points { (D1, t 1), (D2, t 2), …, (Dm, tm) }, so that a fitting function is obtained: y=e1x+e2, where E1 and E2 represent fitting coefficients, and the energy consumption abnormality maintenance duration T of the corresponding region is predicted according to the following formula:
and after the monitoring duration exceeds T and the energy consumption of the corresponding area is recovered to the normal energy consumption value, the centralized monitoring of the corresponding area is canceled.
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| WO2019180865A1 (en) * | 2018-03-22 | 2019-09-26 | 三菱電機ビルテクノサービス株式会社 | Building energy saving control device and building energy saving control method |
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