CN117930730A - Building energy consumption real-time monitoring system based on sensor network - Google Patents
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Abstract
The invention discloses a building energy consumption real-time monitoring system based on a sensor network, and particularly relates to the technical field of buildings, wherein the building energy consumption real-time monitoring system comprises a building energy consumption cloud platform, a building energy consumption equipment identification module, a sensor matching module, a monitoring purpose data collection module, a sorting module and an analysis module; the building energy consumption equipment identification module is used for identifying the type of the building energy consumption equipment according to the identity and the code of the building energy consumption equipment; the method can collect and analyze building energy consumption data in real time, timely find abnormal conditions, sort and analyze the collected data through the sorting module and the analysis module, obtain the division values of different division areas, provide basis for subsequent energy consumption adjustment, monitor and manage single building energy consumption equipment, and facilitate unified management and optimization of the energy consumption of the whole building group or park or enterprise, and improve the utilization efficiency of the whole energy.
Description
Technical Field
The invention relates to the technical field of buildings, in particular to a building energy consumption real-time monitoring system based on a sensor network.
Background
With the acceleration of the urban process, the building energy consumption problem is increasingly serious. In order to reduce the energy consumption of the building and improve the energy utilization efficiency, the energy consumption of the building needs to be monitored in real time. The traditional building energy consumption monitoring method mainly depends on manual inspection and data acquisition, has the problems of limited monitoring range, inaccurate data, poor real-time performance and the like, is unfavorable for establishing the connection between energy loss and benefit, and is unfavorable for controlling the overall energy utilization efficiency, so that the defects exist in the prior art, and the problem needs to be solved urgently.
Disclosure of Invention
In order to achieve the above purpose, the present invention provides the following technical solutions:
the building energy consumption real-time monitoring system based on the sensor network comprises a building energy consumption cloud platform, a building energy consumption equipment identification module, a sensor matching module, a monitoring purpose data collection module, a sorting module and an analysis module; the building energy consumption cloud platform, the building energy consumption equipment identification module, the sensor matching module, the monitoring target data collection module, the arrangement module and the analysis module are in communication connection;
The building energy consumption equipment identification module is used for identifying the type of the building energy consumption equipment according to the identity and the code of the building energy consumption equipment, and then sending the identification result of the building energy consumption equipment identification module, namely the type of the building energy consumption equipment, to the sensor matching module;
the sensor matching module is used for matching the building energy consumption equipment with the corresponding types of sensors according to the identification result of the building energy consumption equipment identification module, and then sending the matching result to the monitoring purpose data collection module;
The monitoring target data collection module is used for respectively collecting the data of the monitoring target, namely the building energy consumption equipment, of a preset monitoring target type according to the matching result of the sensor matching module to obtain a monitoring target data collection sub-list, and then summarizing the monitoring target data collection sub-list to obtain a monitoring target data collection total list and conveying the monitoring target data collection total list to the arrangement module;
The sorting module performs sorting operation on the monitoring target data collection summary list according to a preset sorting rule to obtain sorting sub-lists in different sorting areas, and then gathers all the sorting sub-lists and transmits the sorting sub-lists to the analysis module;
The analysis module is used for respectively calculating the arrangement sub-tables of different division areas to obtain the division value of the area All partition values/>Summarizing to obtain a scoring value/>The form is monitored in real time and sent to a building energy consumption cloud platform;
The building energy consumption cloud platform divides the preset dividing region-standard dividing region form and dividing value Real-time monitoring of the score values/>, in a formRespectively comparing to obtain different types of comparison results, and dividing the values/>Real-time monitoring of the score values/>, in a formRespectively judging with a preset dividing region-standard income threshold value form to obtain different types of judging results, and then summarizing the comparison result types and judging result types of the same dividing region to obtain a basis result collection.
The system also comprises an adjusting module, wherein the building energy consumption cloud platform searches a corresponding adjusting strategy in a preset building energy consumption adjusting strategy table according to the result set and sends the corresponding adjusting strategy to the adjusting module;
and the adjusting module adjusts the energy consumption of the building energy consumption equipment in the dividing area which belongs to the result set according to the received adjusting strategy.
In a preferred embodiment, the sorting module performs sorting operation on the monitoring target data collection summary list according to a preset sorting rule, and the obtaining of sorting sub-lists in different sorting areas refers to: the preset arrangement rule is that according to the region m of the building energy consumption equipment, the monitoring target data collection sub-forms acquired in the corresponding region m are summarized, then the monitoring target data collection sub-forms acquired in the time t are screened out, then the data arrangement is carried out on the single building energy consumption equipment, and the data types in the monitoring target data collection sub-forms are marked as followsMarking data values corresponding to data types as/>Obtaining a standard operation value/>, corresponding to the data type of the building energy consumption equipmentAnd the proportionality coefficient/>, corresponding to the data type of the building energy consumption equipmentCalculating the finishing value/>, of the building energy consumption equipment，And summarizing all the finishing values ZLI according to the belonging areas to obtain finishing sub-tables of different dividing areas.
In a preferred embodiment, the analysis module is configured to calculate the sorted sub-tables of different divided regions respectively to obtain the division value of the regionRefers to: arrange values/>, within the same regionConversion coefficient/>, according to consumption proportion of different energy source types of corresponding building energy consumption equipmentObtaining preset consumption values corresponding to k energy source types，/>Then the consumption value/>Substitution of score value/>In the calculation formula of (a):。
in a preferred embodiment, the building energy consumption cloud platform combines a preset dividing region-standard dividing region form with a dividing value Real-time monitoring of the score values/>, in a formThe comparison is carried out respectively, and the obtained comparison results of different types are as follows:
According to the dividing region m, when m is the same, the standard dividing region and dividing value in the dividing region-standard dividing region form are obtained Then comparing the two, if the score value/>Belonging to the standard division interval, generating a comparison type II; score/>Generating a comparison type I if the comparison type I is smaller than an endpoint value I in the standard partition interval; if the dividing value isAnd generating a comparison type III when the comparison type III is larger than an endpoint value II in the standard dividing interval, wherein the endpoint value II is larger than an endpoint value I, and the endpoint value II and the endpoint value I are respectively two endpoint values in the standard dividing interval.
In a preferred embodiment, the building energy consumption cloud platform will divide the valueReal-time monitoring of the score values/>, in a formRespectively judging with a preset dividing region-standard income threshold value form, wherein the judgment results of different types are as follows:
According to the dividing region m, when m is the same, the standard gain threshold and the dividing value in the preset dividing region-standard gain threshold form Marking a standard benefit threshold as/>Conversion/>, by calculation，，/>Is a preset proportionality coefficient, and then the conversion rate/>And comparison value/>Comparing, if the conversion rate/>Greater than or equal to the comparative value/>Generating a judgment type I; if the conversion rate/>Less than the comparative value/>Then decision type two is generated.
In a preferred embodiment, a specific method of a building energy consumption real-time monitoring system based on a sensor network comprises the following steps:
Step 1, identifying the type of the energy consumption equipment in the building according to the identity and the code of the energy consumption equipment in the building;
step 2, matching corresponding types of sensors for the building energy consumption equipment according to the types of the building energy consumption equipment;
step 3, respectively collecting preset data of the monitoring target type through the sensor monitoring target, namely the building energy consumption equipment, so as to obtain a monitoring target data collection sub-list, and then summarizing the monitoring target data collection sub-list to obtain a monitoring target data collection total list;
Step 4, dividing and sorting the monitoring target data collection summary list according to a preset sorting rule to obtain sorting sub-list of different dividing areas;
step 5, respectively calculating the sorted sub-tables of different dividing regions to obtain dividing values of the regions All partition values/>Summarizing to obtain a scoring value/>Monitoring the form in real time;
Step 6, the preset dividing area-standard dividing interval form and dividing value Real-time monitoring of the score values/>, in a formRespectively comparing to obtain different types of comparison results, and dividing the values/>Real-time monitoring of the score values/>, in a formRespectively judging with a preset dividing region-standard income threshold value form to obtain different types of judging results, and then summarizing the types of comparison results and judging result types of the same dividing region to obtain a basis result collection;
and 7, searching a corresponding regulation strategy in a preset building energy consumption regulation strategy table according to the result set, and regulating the energy consumption of the building energy consumption equipment in the affiliated dividing area.
The invention has the technical effects and advantages that:
The building energy consumption real-time monitoring system based on the sensor network can collect and analyze building energy consumption data in real time, timely find abnormal conditions and improve energy management efficiency, and meanwhile, corresponding sensors can be accurately matched according to the types and codes of building energy consumption equipment through accurate matching, so that accuracy of monitoring data is guaranteed, the monitoring range is wide, the data is accurate, and the real-time performance is good.
According to the method, the collected data are arranged and analyzed through the arrangement module and the analysis module, the division values of different division areas can be obtained, a basis is provided for subsequent energy consumption adjustment, a feedback unit in a building energy consumption cloud platform is used for searching a corresponding adjustment strategy in a preset building energy consumption adjustment strategy table according to a result set, and the adjustment strategy is sent to the adjustment module, so that intelligent adjustment of building energy consumption equipment is realized.
The invention can monitor and manage the energy consumption equipment of a single building, can uniformly manage and optimize the energy consumption of the whole building group or park or enterprise, improves the utilization efficiency of the whole energy, and provides powerful basis for subsequent users to redistribute the carbon indexes of different areas according to the benefit and the consumption index of the energy consumption equipment by setting the basis result set.
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For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
fig. 1 is a schematic diagram of a building energy consumption real-time monitoring system based on a sensor network in the invention.
Fig. 2 is a schematic diagram of a specific method of a building energy consumption real-time monitoring system based on a sensor network in the invention.
Fig. 3 is a schematic diagram of a building energy consumption cloud platform according to 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.
The following examples are obtained with reference to fig. 1-3:
Example 1: the building energy consumption real-time monitoring system based on the sensor network comprises a building energy consumption cloud platform, a building energy consumption equipment identification module, a sensor matching module, a monitoring purpose data collection module, a sorting module and an analysis module; the building energy consumption cloud platform, the building energy consumption equipment identification module, the sensor matching module, the monitoring target data collection module, the arrangement module and the analysis module are in communication connection;
The building energy consumption equipment identification module is used for identifying the type of the building energy consumption equipment according to the identity and the code of the building energy consumption equipment, and then sending the identification result of the building energy consumption equipment identification module, namely the type of the building energy consumption equipment, to the sensor matching module; in the identification and coding of the energy-saving equipment in the building, the identification shows the self information such as the working power, the equipment name, the equipment type and the like, the coding refers to the first coding information which is delivered from the factory and the second coding information which is edited by the user according to the area m which the user belongs to in the actual use, and the second coding information can accurately know the area m which the equipment belongs to after being read, so that the use area division is facilitated;
The sensor matching module is used for matching the building energy consumption equipment with the corresponding types of sensors according to the identification result of the building energy consumption equipment identification module, and then sending the matching result to the monitoring purpose data collection module; examples of sensor types are: the system comprises various sensors such as a wind speed sensor, a light intensity sensor, an immersion type temperature sensor, a humidity sensor and the like, which are used for collecting data of a monitoring purpose type, and when a plurality of sensors are needed for data collection of the same type of data, average value processing is needed for the finally collected type of data;
The monitoring target data collection module is used for respectively collecting the data of the monitoring target, namely the building energy consumption equipment, of a preset monitoring target type according to the matching result of the sensor matching module to obtain a monitoring target data collection sub-list, and then summarizing the monitoring target data collection sub-list to obtain a monitoring target data collection total list and conveying the monitoring target data collection total list to the arrangement module;
The sorting module performs sorting operation on the monitoring target data collection summary list according to a preset sorting rule to obtain sorting sub-lists in different sorting areas, and then gathers all the sorting sub-lists and transmits the sorting sub-lists to the analysis module;
The analysis module is used for respectively calculating the arrangement sub-tables of different division areas to obtain the division value of the area All partition values/>Summarizing to obtain a scoring value/>The form is monitored in real time and sent to a building energy consumption cloud platform; i represents only the item category, but does not relate to the specific content, and will not be described in detail in the following;
The building energy consumption cloud platform divides the preset dividing region-standard dividing region form and dividing value Real-time monitoring of the score values/>, in a formRespectively comparing to obtain different types of comparison results, and dividing the values/>Real-time monitoring of the score values/>, in a formRespectively judging with a preset dividing region-standard income threshold value form to obtain different types of judging results, and then summarizing the comparison result types and judging result types of the same dividing region to obtain a basis result collection.
The system also comprises an adjusting module, wherein the building energy consumption cloud platform searches a corresponding adjusting strategy in a preset building energy consumption adjusting strategy table according to the result set and sends the corresponding adjusting strategy to the adjusting module;
and the adjusting module adjusts the energy consumption of the building energy consumption equipment in the dividing area which belongs to the result set according to the received adjusting strategy.
The sorting module divides and sorts the monitoring target data collection summary list according to a preset sorting rule, and the sorting sub list of different dividing areas is obtained by the sorting module: the preset arrangement rule is that according to the region m of the building energy consumption equipment, the monitoring target data collection sub-forms acquired in the corresponding region m are summarized, then the monitoring target data collection sub-forms acquired in the time t are screened out, then the data arrangement is carried out on the single building energy consumption equipment, and the data types in the monitoring target data collection sub-forms are marked as followsMarking data values corresponding to data types as/>Obtaining a standard operation value/>, corresponding to the data type of the building energy consumption equipmentAnd the proportionality coefficient/>, corresponding to the data type of the building energy consumption equipmentCalculating the finishing value/>, of the building energy consumption equipment，/>Summarizing all the finishing values ZLI according to the belonging areas to obtain finishing sub-tables of different dividing areas; if the building energy consumption equipment is an air conditioner, the collected data types include, but are not limited to, temperature, humidity, barometric pressure, wind speed, carbon dioxide concentration and the like in the air conditioning environment; the time t can be set according to the time section in one day or the time period, such as 8 am to 12 pm, 2 pm to 6 pm, 24h and three days.
The analysis module is used for respectively calculating the arrangement sub-tables of different division areas to obtain the division value of the areaRefers to: arrange values/>, within the same regionConversion coefficient/>, according to consumption proportion of different energy source types of corresponding building energy consumption equipmentObtaining preset consumption values/>, corresponding to k energy source types，/>Then the consumption value/>Substitution of score value/>In the calculation formula of (a): /(I); Wherein k alone represents the number of energy species, at/>Expressed as a consumption proportional conversion coefficient corresponding to one of k energy source types, at/>Expressed as a consumption value corresponding to one of k energy categories,/>The score value corresponding to one of the sections m is illustrated as: the k energy sources can be classified into water, electricity, fuel gas, fuel oil, central heating, central cooling, renewable energy sources and other energy sources in the invention.
The building energy consumption cloud platform divides the preset dividing region-standard dividing region form and dividing valueReal-time monitoring of the score values/>, in a formThe comparison is carried out respectively, and the obtained comparison results of different types are as follows:
According to the dividing region m, when m is the same, the standard dividing region and dividing value in the dividing region-standard dividing region form are obtained Then comparing the two, if the score value/>Belonging to the standard division interval, generating a comparison type II; score/>Generating a comparison type I if the comparison type I is smaller than an endpoint value I in the standard partition interval; if the dividing value isGenerating a comparison type III when the comparison type III is larger than an endpoint value II in the standard dividing interval, wherein the endpoint value II is larger than an endpoint value I, and the endpoint value II and the endpoint value I are respectively two endpoint values in the standard dividing interval; the standard partition in the partition-standard partition form represents the partition value/>, when the equipment in the partition m operates normallyThe standard division interval to which the numerical value should belong.
Building energy consumption cloud platform divides valueReal-time monitoring of the score values/>, in a formRespectively judging with a preset dividing region-standard income threshold value form, wherein the judgment results of different types are as follows:
According to the dividing region m, when m is the same, the standard gain threshold and the dividing value in the preset dividing region-standard gain threshold form Marking a standard benefit threshold as/>Conversion/>, by calculation，，/>Is a preset proportionality coefficient, and then the conversion rate/>And comparison value/>Comparing, if the conversion rate/>Greater than or equal to the comparative value/>Generating a judgment type I; if the conversion rate/>Less than the comparative value/>Then decision type two is generated.
Example 2: the building energy consumption real-time monitoring system based on the sensor network comprises a building energy consumption cloud platform, a building energy consumption equipment identification module, a sensor matching module, a monitoring purpose data collection module, a sorting module and an analysis module; the building energy consumption real-time monitoring system based on the sensor network further comprises an adjusting module, wherein the building energy consumption cloud platform, the building energy consumption equipment identification module, the sensor matching module, the monitoring purpose data collection module, the arrangement module, the analysis module and the adjusting module are in communication connection;
The building energy consumption equipment identification module is used for identifying the type of the building energy consumption equipment according to the identity and the code of the building energy consumption equipment, and then sending the identification result of the building energy consumption equipment identification module, namely the type of the building energy consumption equipment, to the sensor matching module;
the sensor matching module is used for matching the building energy consumption equipment with the corresponding types of sensors according to the identification result of the building energy consumption equipment identification module, and then sending the matching result to the monitoring purpose data collection module;
The monitoring target data collection module is used for respectively collecting the data of the monitoring target, namely the building energy consumption equipment, of a preset monitoring target type according to the matching result of the sensor matching module to obtain a monitoring target data collection sub-list, and then summarizing the monitoring target data collection sub-list to obtain a monitoring target data collection total list and conveying the monitoring target data collection total list to the arrangement module;
the sorting module performs sorting operation on the monitoring target data collection summary list according to a preset sorting rule to obtain sorting sub-lists in different sorting areas, and then gathers all the sorting sub-lists and transmits the sorting sub-lists to the analysis module; the method comprises the following steps: the preset arrangement rule is that according to the region m of the building energy consumption equipment, the monitoring target data collection sub-forms acquired in the corresponding region m are summarized, then the monitoring target data collection sub-forms acquired in the time t are screened out, then the data arrangement is carried out on the single building energy consumption equipment, and the data types in the monitoring target data collection sub-forms are marked as follows Marking data values corresponding to data types as/>Obtaining a standard operation value/>, corresponding to the data type of the building energy consumption equipmentAnd the proportionality coefficient/>, corresponding to the data type of the building energy consumption equipmentCalculating the finishing value/>, of the building energy consumption equipment，/>Summarizing all the finishing values ZLI according to the belonging areas to obtain finishing sub-tables of different dividing areas; if the building energy consumption equipment is an air conditioner, the collected data types include, but are not limited to, temperature, humidity, barometric pressure, wind speed, carbon dioxide concentration and the like in the air conditioning environment; the time t can be set according to the time section in one day or the time period, such as 8 am to 12 pm, 2 pm to 6 pm, 24h and three days.
The analysis module is used for respectively calculating the arrangement sub-tables of different division areas to obtain the division value of the areaAll partition values/>Summarizing to obtain a scoring value/>The form is monitored in real time and sent to a building energy consumption cloud platform; the method comprises the following steps: arrange values/>, within the same regionConversion coefficient/>, according to consumption proportion of different energy source types of corresponding building energy consumption equipmentObtaining preset consumption values/>, corresponding to k energy source types，Then the consumption value/>Substitution of score value/>In the calculation formula of (a):。
the building energy consumption cloud platform comprises a comparison unit, a judgment unit and a feedback unit; the comparison unit compares the preset dividing region-standard dividing region form with the dividing value Real-time monitoring of the score values/>, in a formRespectively comparing to obtain different types of comparison results, specifically: according to the dividing region m, when m is the same, the standard dividing region and dividing value/>, in the dividing region-standard dividing region formThen comparing the two, if the score value/>Belonging to the standard division interval, generating a comparison type II; score/>Generating a comparison type I if the comparison type I is smaller than an endpoint value I in the standard partition interval; score/>And generating a comparison type III when the comparison type III is larger than an endpoint value II in the standard dividing interval, wherein the endpoint value II is larger than an endpoint value I, and the endpoint value II and the endpoint value I are respectively two endpoint values in the standard dividing interval.
The judging unit in the building energy consumption cloud platform divides the valuesReal-time monitoring of scoring values in formsRespectively judging with a preset dividing region-standard income threshold value form to obtain different types of judging results, and then summarizing the types of comparison results and judging result types of the same dividing region to obtain a basis result collection; the method comprises the following steps: according to the dividing region m, when m is the same, the standard gain threshold and the dividing value/>, in a preset dividing region-standard gain threshold formMarking a standard benefit threshold as/>Conversion/>, by calculation，/>，/>Is a preset proportionality coefficient, and then the conversion rate/>And comparison value/>Comparing, if the conversion rate/>Greater than or equal to the comparative value/>Generating a judgment type I; if the conversion rate/>Less than the comparative value/>Then decision type two is generated.
A feedback unit in the building energy consumption cloud platform searches a corresponding regulation strategy in a preset building energy consumption regulation strategy table according to the result set and sends the regulation strategy to the regulation module; the set of results is shown below:
1. (comparison type one, decision type two) indicates that the energy consumption in the divided region m is at a normal level, but the conversion rate Not reaching the expectations;
2. (comparison type two, decision type two) indicates that the energy consumption in the divided region m is lower than the normal level, but the conversion rate Not reaching the expectations;
3. (comparison type three, decision type two) indicates that the energy consumption in the divided region m is higher than the normal level, and the conversion rate Not reaching the expectations;
4. (comparison type one, decision type one) indicates that the energy consumption in the divided region m is at a normal level while the conversion rate Reaching the expectation;
5. (comparison type two, decision type one) indicates that the energy consumption in the divided region m is lower than the normal level, and the conversion rate Reaching the expectation;
6. (comparison type three, decision type one) indicates that the energy consumption in the divided region m is higher than the normal level, but the conversion rate The expectation is reached;
and the adjusting module adjusts the energy consumption of the building energy consumption equipment in the dividing area which belongs to the result set according to the received adjusting strategy.
Example 3: on the basis of the embodiment 1 and the embodiment 2, the invention also provides a concrete method of the building energy consumption real-time monitoring system based on the sensor network, which comprises the following steps:
Step 1, identifying the type of the energy consumption equipment in the building according to the identity and the code of the energy consumption equipment in the building;
step 2, matching corresponding types of sensors for the building energy consumption equipment according to the types of the building energy consumption equipment;
step 3, respectively collecting preset data of the monitoring target type through the sensor monitoring target, namely the building energy consumption equipment, so as to obtain a monitoring target data collection sub-list, and then summarizing the monitoring target data collection sub-list to obtain a monitoring target data collection total list;
Step 4, dividing and sorting the monitoring target data collection summary list according to a preset sorting rule to obtain sorting sub-list of different dividing areas;
step 5, respectively calculating the sorted sub-tables of different dividing regions to obtain dividing values of the regions All partition values/>Summarizing to obtain a scoring value/>Monitoring the form in real time;
Step 6, the preset dividing area-standard dividing interval form and dividing value Real-time monitoring of the score values/>, in a formRespectively comparing to obtain different types of comparison results, and dividing the values/>Real-time monitoring of the score values/>, in a formRespectively judging with a preset dividing region-standard income threshold value form to obtain different types of judging results, and then summarizing the types of comparison results and judging result types of the same dividing region to obtain a basis result collection;
and 7, searching a corresponding regulation strategy in a preset building energy consumption regulation strategy table according to the result set, and regulating the energy consumption of the building energy consumption equipment in the affiliated dividing area.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (6)
1. The building energy consumption real-time monitoring system based on the sensor network is characterized by comprising a building energy consumption cloud platform, a building energy consumption equipment identification module, a sensor matching module, a monitoring purpose data collection module, a sorting module and an analysis module;
The building energy consumption equipment identification module is used for identifying the type of the building energy consumption equipment according to the identity and the code of the building energy consumption equipment, and then sending the identification result of the building energy consumption equipment identification module, namely the type of the building energy consumption equipment, to the sensor matching module;
the sensor matching module is used for matching the building energy consumption equipment with the corresponding types of sensors according to the identification result of the building energy consumption equipment identification module, and then sending the matching result to the monitoring purpose data collection module;
The monitoring target data collection module is used for respectively collecting the data of the monitoring target, namely the building energy consumption equipment, of a preset monitoring target type according to the matching result of the sensor matching module to obtain a monitoring target data collection sub-list, and then summarizing the monitoring target data collection sub-list to obtain a monitoring target data collection total list and conveying the monitoring target data collection total list to the arrangement module;
The sorting module performs sorting operation on the monitoring target data collection summary list according to a preset sorting rule to obtain sorting sub-lists in different sorting areas, and then gathers all the sorting sub-lists and transmits the sorting sub-lists to the analysis module;
The analysis module is used for respectively calculating the arrangement sub-tables of different division areas to obtain the division value of the area All partition values/>Summarizing to obtain a scoring value/>The form is monitored in real time and sent to a building energy consumption cloud platform;
The building energy consumption cloud platform divides the preset dividing region-standard dividing region form and dividing value Real-time monitoring of the score values/>, in a formRespectively comparing to obtain different types of comparison results, and dividing the values/>Real-time monitoring of the score values/>, in a formRespectively judging with a preset dividing region-standard income threshold value form to obtain different types of judging results, and then summarizing the comparison result types and judging result types of the same dividing region to obtain a basis result collection.
2. The sensor network-based building energy consumption real-time monitoring system according to claim 1, further comprising an adjusting module, wherein the building energy consumption cloud platform searches a corresponding adjusting strategy in a preset building energy consumption adjusting strategy table according to the result set and sends the corresponding adjusting strategy to the adjusting module;
and the adjusting module adjusts the energy consumption of the building energy consumption equipment in the dividing area which belongs to the result set according to the received adjusting strategy.
3. The sensor network-based building energy consumption real-time monitoring system according to claim 2, wherein the sorting module performs sorting operation on the monitoring target data collection summary list according to a preset sorting rule, and the sorting sub-list for obtaining different sorting areas is: the preset arrangement rule is that according to the region m of the building energy consumption equipment, the monitoring target data collection sub-forms acquired in the corresponding region m are summarized, then the monitoring target data collection sub-forms acquired in the time t are screened out, then the data arrangement is carried out on the single building energy consumption equipment, and the data types in the monitoring target data collection sub-forms are marked as followsMarking data values corresponding to data types as/>Obtaining a standard operation value/>, corresponding to the data type of the building energy consumption equipmentAnd the scaling factor corresponding to the data type of the building energy consumption equipmentCalculating the finishing value/>, of the building energy consumption equipment，/>And summarizing all the finishing values ZLI according to the belonging areas to obtain finishing sub-tables of different dividing areas.
4. The sensor network-based real-time building energy consumption monitoring system as set forth in claim 3, wherein the analysis module is configured to calculate the sorted sub-tables of different divided areas respectively to obtain the division value of the areaRefers to: arrange values/>, within the same regionConversion coefficient/>, according to consumption proportion of different energy source types of corresponding building energy consumption equipmentObtaining preset consumption values/>, corresponding to k energy source types，/>Then the consumption value/>Substitution of score value/>In the calculation formula of (a): /(I)。
5. The sensor network-based building energy consumption real-time monitoring system as set forth in claim 4, wherein the building energy consumption cloud platform is configured to divide a preset dividing region-standard dividing region form and dividing valueReal-time monitoring of the score values/>, in a formThe comparison is carried out respectively, and the obtained comparison results of different types are as follows:
According to the dividing region m, when m is the same, the standard dividing region and dividing value in the dividing region-standard dividing region form are obtained Then comparing the two, if the score value/>Belonging to the standard division interval, generating a comparison type II; score/>Generating a comparison type I if the comparison type I is smaller than an endpoint value I in the standard partition interval; score/>And generating a comparison type III when the comparison type III is larger than an endpoint value II in the standard dividing interval, wherein the endpoint value II is larger than an endpoint value I, and the endpoint value II and the endpoint value I are respectively two endpoint values in the standard dividing interval.
6. The sensor network-based building energy consumption real-time monitoring system according to claim 5, wherein the building energy consumption cloud platform divides the valuesReal-time monitoring of the score values/>, in a formRespectively judging with a preset dividing region-standard income threshold value form, wherein the judgment results of different types are as follows:
According to the dividing region m, when m is the same, the standard gain threshold and the dividing value in the preset dividing region-standard gain threshold form Marking a standard benefit threshold as/>Conversion/>, by calculation，，/>Is a preset proportionality coefficient, and then the conversion rate/>And comparison value/>Comparing, if the conversion rate/>Greater than or equal to the comparative value/>Generating a judgment type I; if the conversion rate/>Less than the comparative value/>Then decision type two is generated.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100283606A1 (en) * | 2009-05-08 | 2010-11-11 | Boris Tsypin | Building energy consumption analysis system |
| WO2019114191A1 (en) * | 2017-12-14 | 2019-06-20 | 特斯联（北京）科技有限公司 | Internet of things-based building operation device status monitoring and visual analysis system |
| CN211149228U (en) * | 2019-06-19 | 2020-07-31 | 西安建筑科技大学 | Building energy consumption collection system based on crowd's intelligence |
| CN113642995A (en) * | 2021-08-13 | 2021-11-12 | 山东中图软件技术有限公司 | Management method and equipment based on intelligent park |
| CN115098589A (en) * | 2022-06-17 | 2022-09-23 | 上海慧程工程技术服务有限公司 | Industrial energy consumption data monitoring method and device based on Internet of things |
| CN115328744A (en) * | 2022-10-14 | 2022-11-11 | 中国信息通信研究院 | Block chain-based equipment monitoring method, device, equipment and medium |
| CN115524554A (en) * | 2022-09-09 | 2022-12-27 | 杨本国 | Comprehensive operation management method and system for intelligent park |
| CN116233198A (en) * | 2023-04-23 | 2023-06-06 | 深圳市科网通科技发展有限公司 | Data processing method and system based on intelligent building networking |
| CN116562503A (en) * | 2023-05-19 | 2023-08-08 | 南京诚迈电力信息科技有限公司 | Intelligent comprehensive control system for power grid based on data analysis |
| CN117132041A (en) * | 2023-07-12 | 2023-11-28 | 杭州龙源电力有限公司电力建设分公司 | Energy supply block optimal selection scheduling method based on energy big data |
| CN117290425A (en) * | 2023-10-07 | 2023-12-26 | 浙江智慧江能技术服务股份有限公司 | Building energy consumption data acquisition and analysis method based on Internet of things |
-
2024
- 2024-03-21 CN CN202410323003.2A patent/CN117930730A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100283606A1 (en) * | 2009-05-08 | 2010-11-11 | Boris Tsypin | Building energy consumption analysis system |
| WO2019114191A1 (en) * | 2017-12-14 | 2019-06-20 | 特斯联（北京）科技有限公司 | Internet of things-based building operation device status monitoring and visual analysis system |
| CN211149228U (en) * | 2019-06-19 | 2020-07-31 | 西安建筑科技大学 | Building energy consumption collection system based on crowd's intelligence |
| CN113642995A (en) * | 2021-08-13 | 2021-11-12 | 山东中图软件技术有限公司 | Management method and equipment based on intelligent park |
| CN115098589A (en) * | 2022-06-17 | 2022-09-23 | 上海慧程工程技术服务有限公司 | Industrial energy consumption data monitoring method and device based on Internet of things |
| CN115524554A (en) * | 2022-09-09 | 2022-12-27 | 杨本国 | Comprehensive operation management method and system for intelligent park |
| CN115328744A (en) * | 2022-10-14 | 2022-11-11 | 中国信息通信研究院 | Block chain-based equipment monitoring method, device, equipment and medium |
| CN116233198A (en) * | 2023-04-23 | 2023-06-06 | 深圳市科网通科技发展有限公司 | Data processing method and system based on intelligent building networking |
| CN116562503A (en) * | 2023-05-19 | 2023-08-08 | 南京诚迈电力信息科技有限公司 | Intelligent comprehensive control system for power grid based on data analysis |
| CN117132041A (en) * | 2023-07-12 | 2023-11-28 | 杭州龙源电力有限公司电力建设分公司 | Energy supply block optimal selection scheduling method based on energy big data |
| CN117290425A (en) * | 2023-10-07 | 2023-12-26 | 浙江智慧江能技术服务股份有限公司 | Building energy consumption data acquisition and analysis method based on Internet of things |
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