CN115291555A - Internet-based intelligent building digital information management system - Google Patents
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Abstract
The invention discloses an intelligent building digital information management system based on the internet, comprising: 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 historical illumination monitoring data and historical energy consumption data of a building are acquired through the building information acquisition module, 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, the 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, the illumination monitoring information of the same area is controlled to be displayed in a centralized mode, the areas with abnormal energy consumption are monitored in a centralized mode through the energy consumption monitoring management module, the centralized monitoring duration is planned, the efficiency of monitoring the lighting equipment of an unmanned area is improved, and energy conservation of the building 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 optimized combination of the system and the system, so that the building has the characteristics of safety, convenience, high efficiency and energy conservation, thereby effectively ensuring a comfortable working environment in the building and achieving the purposes of saving energy and maintaining management work and operating cost;
however, the existing digital building information management method has the following problems: firstly, in the aspect of lighting information management, lighting equipment in different areas in a building is turned on to be turned off and is turned on to be turned on in different time, and sometimes, the phenomenon that lighting equipment in an unmanned area is still turned on exists; secondly, in the aspect of energy consumption monitoring, due to the fact that the abnormal energy consumption monitoring information is scattered, centralized monitoring of the area with the abnormal energy consumption is not facilitated.
Therefore, an internet-based intelligent building digital information management system is required 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: 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;
historical lighting monitoring data and historical energy consumption data of a building are collected through the building information collection module, and all the collected data are transmitted to the information management center through the internet;
storing and managing all the collected data through the information management center;
analyzing the illumination frequency of different areas in the building through the monitoring information analysis module, and predicting the normal energy consumption values of the different areas;
the areas are classified through the illumination monitoring management module, and illumination monitoring information of the same type of areas is controlled to be displayed in a centralized manner;
and carrying out centralized monitoring on the areas with abnormal energy consumption through the energy consumption monitoring management module and planning the centralized monitoring duration.
Furthermore, 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 a plurality of times of on-off of n area illumination devices; the energy consumption data acquisition unit is used for acquiring the central position data of n areas and the historical energy consumption data of the n areas and transmitting all the acquired data to the information management center.
Furthermore, the monitoring information analysis module comprises an illumination frequency analysis unit and an energy consumption abnormity analysis unit, wherein the illumination frequency analysis unit is used for calling interval time data of a plurality of times of starting and stopping of the illumination equipment and analyzing the illumination frequency of each area; the energy consumption abnormity analysis unit is used for calling historical energy consumption data and analyzing the normal energy consumption value of each region.
Furthermore, 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 frequency and classifying the areas with the same illumination frequency into one class; the monitoring information integration unit is used for carrying out centralized display on the illumination monitoring information according to the classification result: and dividing display areas, and displaying the illumination monitoring information of the same type of area through the same display area.
Furthermore, 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 region, comparing the normal energy consumption value with the current energy consumption value, screening out the region with abnormal energy consumption, carrying out centralized monitoring on the screened region with abnormal energy consumption, and predicting the duration of maintaining the abnormal energy consumption; 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 area energy consumption is recovered to be normal.
Further, collecting historical data: the method comprises the steps of collecting the number of times that the lighting devices of n areas are turned on in the same time period, wherein the number of times is A = { A1, A2, \8230;, an }, the number of times that the lighting devices are turned off is the same as the number of times that the lighting devices are turned on, collecting the interval duration sets of a plurality of times that the lighting devices of two random areas are turned on and turned off, wherein the interval duration sets of a plurality of times that the lighting devices of two random areas are turned on are B = { B1, B2, \8230, B ' = { B1', B2', \8230, bj ', \8230, bq ' }, wherein p =2Ai-1, p ≧ 2, q =2Aj-1, q ≧ 2, ai and Aj respectively represent the number of times that the lighting devices corresponding to the two areas are turned on, and setting the switching property equations of the lighting devices of two random areas as follows: y = a1x + b1, y = a2x + b2, where a1 and a2 respectively represent the slopes of two straight lines expressed by the lighting device switching property equations corresponding to the two regions,
b1 and b2 respectively represent the intercept of two straight lines,
respectively calculating first difference coefficients s of illumination frequencies of two random areas according to the following formula f1 And a second coefficient of difference s f2 ：
s f1 ＝a1-a2；
s f2 ＝b1-b2；
The method comprises the steps of calculating an illumination frequency difference coefficient between areas, wherein Bi and Bj' respectively represent the interval duration of random one-time on-off of illumination equipment corresponding to the two areas, i =1,2, \ 8230, p, j =1,2, \ 8230, q, and the purpose of calculating the illumination frequency difference coefficient between the areas is to intensively display monitoring information of the illumination equipment in the areas with the same illumination frequency, so that the centralized monitoring of the illumination equipment in the areas with the same illumination frequency is facilitated, the speed of observing the phenomenon that no person exists in the areas but the illumination equipment is turned on by related personnel is increased, the time that the illumination equipment is turned on and maintained without a person exists in the areas is reduced, the energy-saving effect is achieved, and the difficulty that the on-off of the illumination equipment needs to be controlled at different times is reduced.
Further, the illumination frequency difference coefficients corresponding to the two regions are compared: if s f1 Not equal to 0 or s f2 Not equal to 0, judging that the illumination frequencies corresponding to the two areas are different; if s f1 =0 and s f2 And =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: and dividing the illumination monitoring information corresponding to the two areas into the same monitoring display area for display, comparing the illumination frequency difference coefficients between every two n areas in the same mode, and carrying out centralized display on the illumination monitoring information of the areas with the same illumination frequency.
Further, collecting historical energy consumption data: the method comprises the steps of collecting a set of energy consumption values of a random region every day, wherein the set of the energy consumption values of the random region every day is M = { M1, M2, \8230;, mk }, and the collected energy consumption values do not exceed the energy consumption threshold values of corresponding regions, wherein Mk represents the collected energy consumption values of the corresponding region every k day, and the energy consumption values are calculated according to a formula
Calculating a normal energy consumption value M' of the corresponding area in one day, and monitoring the current energy consumption of the corresponding area: if the monitored current energy consumption value exceeds M', indicating that the energy consumption of the corresponding region is abnormal, screening the region with abnormal energy consumption in the same way, and carrying out centralized monitoring on the screened region with abnormal energy consumption: when the past energy consumption abnormality of a random area is collected, a monitored initial abnormal energy consumption value set is D = { D1, D2, \8230;, dm }, and an energy consumption abnormality maintaining duration set is t = { t1, t2, \8230;, tm }, wherein m represents the number of times that the corresponding area which is screened is monitored to have the energy consumption abnormality, the obtained 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), \8230 { (Dm, tm) }, so that a fitting function is obtained: y = E1X + E2, wherein E1 and E2 represent fitting coefficients, and the energy consumption abnormity maintenance duration T of the corresponding region is predicted according to the following formula:
T＝E1*d+E2；
when 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 cancelled, and the duration of the abnormal energy consumption maintenance of the area is predicted to plan the duration of the key monitoring of the corresponding area, so that the monitoring efficiency in a short period when the energy consumption of the corresponding area is abnormal is improved, the duration of invalid monitoring is also reduced, and the monitoring work is balanced.
Compared with the prior art, the invention has the following beneficial effects:
according to the method, the historical illumination monitoring data and the historical energy consumption data of the building are acquired and analyzed through big data, the illumination frequencies of the illumination devices in different areas are analyzed, the monitoring information of the illumination devices in the areas with small differences is displayed in a centralized mode, the centralized monitoring of the illumination devices in the areas with the same illumination frequencies is facilitated, the speed of observing the phenomenon that the illumination devices are started without people in the areas by related personnel is increased, the time that the illumination devices are started and maintained without people in the areas is facilitated to be reduced, the energy consumption of the building illumination devices is saved, and the difficulty that the illumination devices need to be controlled to be started and closed at different times is reduced; the duration of the key monitoring of the corresponding region is planned by predicting the duration of the abnormal energy consumption maintenance of the region, so that the monitoring efficiency in a short period when the energy consumption of the corresponding region is abnormal is improved, the duration of invalid monitoring is also reduced, and the monitoring work is balanced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a block diagram of an internet-based intelligent building digital information management system according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Referring to fig. 1, the present invention provides a technical solution: internet-based intelligent building digital information management system, the system includes: 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;
the method comprises the steps that historical illumination monitoring data and historical energy consumption data of a building are collected through a building information collection module, and all collected data are transmitted to an information management center through the Internet;
storing and managing all the collected data through an information management center;
analyzing the lighting frequency of different areas in the building through a monitoring information analysis module, and predicting the normal energy consumption values of the different areas;
the areas are classified through the illumination monitoring management module, and illumination monitoring information of the same type of areas is controlled 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 the centralized monitoring time.
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 a plurality of times of starting and stopping of illumination equipment in the n areas; the energy consumption data acquisition unit is used for acquiring the central position data of the n regions and the historical energy consumption data of the n regions and transmitting all the acquired data to the information management center.
The monitoring information analysis module comprises an illumination frequency analysis unit and an energy consumption abnormity analysis unit, wherein the illumination frequency analysis unit is used for calling the interval time data of a plurality of times of starting and closing of the illumination equipment and analyzing the illumination frequency of each area; and the energy consumption abnormity analysis unit is used for calling historical energy consumption data and analyzing the normal energy consumption value of each region.
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 frequency and classifying the areas with the same illumination frequency into one class; the monitoring information integration unit is used for displaying the illumination monitoring information in a centralized manner according to the classification result: and dividing display areas, 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 region, comparing a normal energy consumption value with the current energy consumption value, screening out the region with abnormal energy consumption, carrying out centralized monitoring on the screened region with abnormal energy consumption and predicting the duration of maintaining the abnormal energy consumption; 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 area energy consumption is recovered to be normal.
Collecting historical data: the method comprises the steps of collecting the number of times that the lighting devices of n areas are turned on in the same time period, wherein the number of times is A = { A1, A2, \8230;, an }, the number of times that the lighting devices are turned off is the same as the number of times that the lighting devices are turned on, collecting the interval duration sets of a plurality of times that the lighting devices of two random areas are turned on and turned off, wherein the interval duration sets of a plurality of times that the lighting devices of two random areas are turned on are B = { B1, B2, \8230, B ' = { B1', B2', \8230, bj ', \8230, bq ' }, wherein p =2Ai-1, p ≧ 2, q =2Aj-1, q ≧ 2, ai and Aj respectively represent the number of times that the lighting devices corresponding to the two areas are turned on, and setting the switching property equations of the lighting devices of two random areas as follows: y = a1x + b1, y = a2x + b2, where a1 and a2 respectively represent the slopes of two straight lines expressed by the lighting device switching property equations for the two regions,
b1 and b2 respectively represent the intercept of two straight lines,
respectively calculating first difference coefficients s of illumination frequencies of two random areas according to the following formula f1 And a second coefficient of difference s f2 ：
s f1 ＝a1-a2；
s f2 ＝b1-b2；
The lighting equipment in the two areas is turned on and off at one time at random, and the interval duration of the lighting equipment in the two areas is represented by Bi and Bj', i =1,2, \8230;, p, j =1,2, \8230;, and q, so that the time for turning on and maintaining the lighting equipment without people in the areas is reduced, the energy-saving effect is achieved, and the difficulty for controlling the on and off of the lighting equipment at different times is reduced.
The illumination frequency difference coefficients corresponding to the two regions are compared: if s f1 Not equal to 0 or s f2 Not equal to 0, judging that the illumination frequencies corresponding to the two areas are different; if s f1 =0 and s f2 And =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: and dividing the illumination monitoring information corresponding to the two areas into the same monitoring display area for display, comparing the illumination frequency difference coefficients between every two n areas in the same mode, and carrying out centralized display on the illumination monitoring information of the areas with the same illumination frequency.
Collecting historical energy consumption data: the method comprises the steps of collecting a set of energy consumption values of a random region every day, wherein the set of the energy consumption values of the random region every day is M = { M1, M2, \8230;, mk }, and the collected energy consumption values do not exceed the energy consumption threshold values of corresponding regions, wherein Mk represents the collected energy consumption values of the corresponding region every k day, and the energy consumption values are calculated according to a formula
Calculating a normal energy consumption value M' of the corresponding area in one day, and monitoring the current energy consumption of the corresponding area: if the monitored current energy consumption value exceeds M', indicating that the energy consumption of the corresponding region is abnormal, screening the region with abnormal energy consumption in the same way, and carrying out centralized monitoring on the screened region with abnormal energy consumption: when the past energy consumption abnormality of a random area is collected, a monitored initial abnormal energy consumption value set is D = { D1, D2, \8230;, dm }, and an energy consumption abnormality maintaining duration set is t = { t1, t2, \8230;, tm }, wherein m represents the number of times that the corresponding area which is screened is monitored to have the energy consumption abnormality, the obtained 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), \8230 { (Dm, tm) }, so that a fitting function is obtained: y = E1X + E2, wherein E1 and E2 represent fitting coefficients, and the energy consumption abnormity maintenance duration T of the corresponding region is obtained through prediction according to the following formula:
T＝E1*d+E2；
when 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 cancelled, the monitoring efficiency in a short period when the energy consumption of the corresponding area is abnormal is improved, the duration of invalid monitoring is also reduced, and the monitoring work is balanced.
The first embodiment is as follows: collecting historical data: in the same time period, the set of times of turning on the lighting devices in 3 areas is collected as a = { A1, A2, A3} = {2, 5}, the set of time intervals for turning on and off the lighting devices in the first area is collected as B = { B1, B2, B3} = {4,1,3}, and the set of time intervals for turning on and off the lighting devices in the second area is collected as B '= { B1', B2', B3' } = {4,1,3}, where the unit is: in hours, the switching property equations of the lighting devices in two random areas are set as follows:
according to the formula s f1 = a1-a2 and s f2 B1-b2 calculating a first coefficient of difference s in illumination frequency for the first and second areas f1 = a1-a2=0, second coefficient of variance s f2 ＝b1-b2＝0，s f1 =0 and s f2 =0, judging that the illumination frequencies of the first and second areas are the same, and displaying the illumination monitoring information of the two areas in a centralized manner;
the second embodiment: and (3) carrying out centralized monitoring on the screened areas with abnormal energy consumption: when the energy consumption abnormality of a selected random area occurs in the past, the monitored initial abnormal energy consumption value set is D = { D1, D2, D3} = {10, 20, 15}, the energy consumption abnormality maintaining time set is t = { t1, t2, t3} = {2,1,3}, and the unit is: in an hour, obtaining that the initial abnormal energy consumption value of the currently monitored corresponding region is D =18, performing straight line fitting on the data points { (D1, t 1), (D2, t 2), (D3, t 3) }, and obtaining a fitting function as follows: y = E1X + E2,
predicting the corresponding relation according to the formula T = E1 × d + E2And the energy consumption abnormity maintaining time length T =1.7 of the region, and the centralized monitoring of the corresponding region is cancelled 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.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described above, or equivalents may be substituted for elements thereof. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. Intelligent building digital information management system based on internet, its characterized in that: the system 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;
historical lighting monitoring data and historical energy consumption data of a building are collected through the building information collection module, and all the collected data are transmitted to the information management center through the internet;
storing and managing all the acquired data through the information management center;
analyzing the lighting frequency of different areas in the building through the monitoring information analysis module, and predicting the normal energy consumption values of the different areas;
the areas are classified through the illumination monitoring management module, and illumination monitoring information of the same type of areas is controlled to be displayed in a centralized manner;
and carrying out centralized monitoring on the area with abnormal energy consumption through the energy consumption monitoring management module and planning the centralized monitoring time length.
2. The internet-based intelligent building digital information management system as claimed in claim 1, wherein: 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 a plurality of times of starting and stopping of illumination equipment in the n areas; the energy consumption data acquisition unit is used for acquiring the central position data of the n regions and the historical energy consumption data of the n regions and transmitting all the acquired data to the information management center.
3. The internet-based intelligent building digital information management system as claimed in claim 2, wherein: the monitoring information analysis module comprises an illumination frequency analysis unit and an energy consumption abnormity analysis unit, wherein the illumination frequency analysis unit is used for calling interval time data of a plurality of times of starting and stopping of the illumination equipment and analyzing the illumination frequency of each area; the energy consumption abnormity analysis unit is used for calling historical energy consumption data and analyzing the normal energy consumption value of each region.
4. The internet-based intelligent building digital information management system as claimed in claim 3, wherein: 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 frequency and classifying the areas with the same illumination frequency into one class; the monitoring information integration unit is used for carrying out centralized display on the illumination monitoring information according to the classification result: and dividing display areas, and displaying the illumination monitoring information of the same type of area through the same display area.
5. The internet-based intelligent building digital information management system as claimed in claim 3, 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 region, comparing a normal energy consumption value with the current energy consumption value, screening out the region with abnormal energy consumption, carrying out centralized monitoring on the screened region with abnormal energy consumption, and predicting the duration of maintaining the abnormal energy consumption; 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 area energy consumption is recovered to be normal.
6. The Internet-based intelligent building digital information management system as claimed in claim 4, wherein: collecting historical data: in the same time period, the number of times of turning on the lighting devices in n regions is collected as a = { A1, A2, \ 8230:, an }, the number of times of turning off the lighting devices is the same as the number of times of turning on the lighting devices, and the time duration sets of the turn-on and turn-off of the lighting devices in two random regions are collected as B = { B1, B2, \8230, bi, \8230:, bp }, B '= { B1', B2', \8230;, bj 8230;, bq' }, wherein p =2Ai-1, p 2, q =2aj-1, q ≧ 2, ai and Aj respectively represent the number of times of turning on the lighting devices corresponding to the two regions, and the switching property equations of the lighting devices in two random regions are respectively set as follows: y = a1x + b1, y = a2x + b2, where a1 and a2 respectively represent the slopes of two straight lines expressed by the lighting device switching property equations for the two regions,
b1 and b2 respectively represent the intercept of two straight lines,
respectively calculating first difference coefficients s of illumination frequencies of two random 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 one random turn-on and turn-off of the lighting device corresponding to the two regions, i =1,2, \8230, p, j =1,2, \8230, q.
7. The internet-based intelligent building digital information management system as claimed in claim 6, wherein: the illumination frequency difference coefficients corresponding to the two regions are compared: if s f1 Not equal to 0 or s f2 Not equal to 0, judging the illumination frequency corresponding to the two areasThe rates are different; if s f1 =0 and s f2 And =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: and dividing the illumination monitoring information corresponding to the two areas into the same monitoring display area for display, comparing the illumination frequency difference coefficients between every two n areas in the same mode, and carrying out centralized display on the illumination monitoring information of the areas with the same illumination frequency.
8. The internet-based intelligent building digital information management system as claimed in claim 5, wherein: collecting historical energy consumption data: the method comprises the steps of collecting a random energy consumption value set of one area per day, wherein the energy consumption value set is M = { M1, M2, \8230;, mk }, and the collected energy consumption value does not exceed an energy consumption threshold value of a corresponding area, wherein Mk represents the collected energy consumption value of the corresponding area per day, and the energy consumption value is calculated according to a formula
Calculating a normal energy consumption value M' of the corresponding area in one day, and monitoring the current energy consumption of the corresponding area: if the current energy consumption value exceeds M' through monitoring, indicating that the energy consumption of the corresponding region is abnormal, screening the region with abnormal energy consumption in the same way, and carrying out centralized monitoring on the screened region with abnormal energy consumption: when the previous energy consumption abnormality of a random area is collected, a monitored initial abnormal energy consumption value set is D = { D1, D2, \8230, dm }, and an energy consumption abnormality maintaining duration set is t = { t1, t2, \8230 {, tm }, wherein m represents the number of times that the corresponding screened area is monitored to have the energy consumption abnormality, and the obtained initial abnormal energy consumption value of the currently monitored corresponding area is D, and linear fitting is carried out on data points { (D1, t 1), (D2, t 2), \8230 { (Dm, tm) }, so that a fitting function is obtained: y = E1X + E2, wherein E1 and E2 represent fitting coefficients, and the energy consumption abnormity maintenance duration T of the corresponding region is predicted according to the following formula:
T＝E1*d+E2；
and after the monitoring duration exceeds T and the energy consumption of the corresponding area is recovered to the normal energy consumption value, canceling the centralized monitoring of the corresponding area.
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| CN117010650A (en) * | 2023-08-11 | 2023-11-07 | 山东金洲科瑞节能科技有限公司 | Automatic monitoring system and method for equipment operation based on Internet of things |
| CN117714910A (en) * | 2023-12-15 | 2024-03-15 | 广东博科电子科技有限公司 | Building intercom control system based on Internet of things |
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