Centralized management method and system for water, electricity and gas security under the Internet of Things

Abstract

The present invention relates to the technical field of indoor energy consumption supervision, and specifically discloses a method and system for centralized management of water, electricity, and gas security in the field of vision of the Internet of Things. The method includes determining the data integrity of each management unit based on the monitoring equipment installed in each building unit; determining the energy consumption data of each management unit based on the monitoring equipment, analyzing the energy consumption data, and determining the coreness of each management unit; receiving a management request containing a management level input by the management party, determining the amount of monitoring data according to the management level, and selecting a management unit with a monitoring data volume based on the data integrity and the coreness to obtain its energy consumption data. The present invention combines the two parameters of data integrity and coreness to randomly select a limited number of management units for data collection and identification, converting the original global scheme into a sampling scheme, greatly improving the recognition speed while ensuring a certain recognition accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of indoor energy consumption supervision, and in particular to a method and system for centralized security management of water, electricity and gas under the field of vision of the Internet of Things. Background Art

[0002] In the context of the Internet of Things, centralized security management of water, electricity, and gas can use sensors, data collection and analysis, remote monitoring and other technical means to achieve all-round real-time monitoring and management of water, electricity, and gas supply and use. This centralized management system can significantly improve security efficiency, reduce safety hazards, and ensure a stable supply of resources.

[0003] The data acquisition process in the existing centralized management solution is a global data acquisition process. In fact, in the same building, the energy consumption situation is almost similar. Only a part of the energy consumption data needs to be obtained to evaluate the risk situation of the entire building. Compared with the traditional solution, it is more efficient. How to improve the efficiency of energy consumption monitoring is the technical problem that this application wants to solve. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for centralized management of water, electricity and gas security in the field of Internet of Things, so as to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A method for centralized management of water, electricity and gas security in the field of Internet of Things, the method comprising:

[0007] Obtaining a BIM model of the building to be managed that includes energy supply lines; the energy supply lines include water supply lines, power supply lines, and gas supply lines;

[0008] The various building units in the BIM model are merged according to the building's occupancy record information. As a management unit, the data integrity of each management unit is determined based on the monitoring equipment installed in each building unit;

[0009] Determine the energy consumption data of each management unit based on the monitoring equipment, analyze the energy consumption data, and determine the coreness of each management unit; wherein the energy consumption data includes water consumption data, electricity consumption data, and gas consumption data;

[0010] A management request containing a management level input by a management party is received, the amount of monitoring data is determined according to the management level, and a management unit of the monitoring data amount is selected based on the data completeness and the coreness to obtain its energy consumption data.

[0011] As a further solution of the present invention: the step of merging the various building units in the BIM model according to the building registration information and determining the data integrity of each management unit according to the monitoring equipment installed in each building unit as the management unit includes:

[0012] Query the building's occupancy registration information and obtain the occupancy unit and its registration address;

[0013] The building unit corresponding to the registered address is counted with the resident unit as the label, which serves as the management unit;

[0014] Query the monitoring devices installed in each building unit and their activation status, and determine the data integrity based on the monitoring devices installed in the same management unit and their activation status;

[0015] The calculation process of the data integrity is:

[0016] ; In the formula, Indicates data integrity. is the preset correction factor, is the number of activations of the device, The total number of devices.

[0017] As a further solution of the present invention: the step of determining the energy consumption data of each management unit based on the monitoring device, analyzing the energy consumption data, and determining the coreness of each management unit includes:

[0018] Receive and accumulate energy consumption data uploaded by activated monitoring devices to obtain an energy consumption data sequence;

[0019] Extract features from the energy consumption data sequence to obtain sequence features;

[0020] Compare the sequence characteristics of different management units to determine the coreness of each management unit;

[0021] The calculation process of the core degree is:

[0022] ; is the similarity between the sequence characteristics of the current management unit and the sequence characteristics of another management unit; represents the mean of similarity, represents the standard deviation of similarity; and is the preset correction factor.

[0023] As a further solution of the present invention, the step of receiving a management request containing a management level input by a management party, determining the amount of monitoring data according to the management level, selecting a management unit of the monitoring data amount based on the data integrity and the coreness, and obtaining its energy consumption data includes:

[0024] Receiving a management request containing a management level input by a management party;

[0025] Query the monitoring data volume in the preset quantity table;

[0026] Based on the monitoring data volume, matching data completeness and coreness, determining a matching management unit;

[0027] The data acquisition frequency of the matched management unit is synchronously determined according to the matching result, and its energy consumption data is acquired based on the data acquisition frequency.

[0028] As a further solution of the present invention: the process of matching the data integrity and coreness based on the monitoring data volume and determining the matching management unit is:

[0029] Determine the selection probability according to the data completeness and coreness, randomly select the management unit based on the selection probability, obtain the data volume of the selected management unit and accumulate it. When the total accumulated data volume is greater than the monitoring data volume, the selected management unit will be used as the matching management unit;

[0030] Among them, the amount of data from the management unit is proportional to the number of activated monitoring devices;

[0031] The process of determining the frequency of data acquisition is:

[0032] The number of matching management units is queried, and the frequency of data acquisition is determined according to the inverse ratio of the number.

[0033] As a further solution of the present invention: the method further comprises:

[0034] Regularly collect statistics on energy consumption data of all management units;

[0035] Converting the energy consumption data into a color value space to obtain display parameters;

[0036] The display parameters are filled into a three-dimensional map; the three-dimensional map is generated based on a BIM model.

[0037] The technical solution of the present invention also provides a centralized security management system for water, electricity and gas in the field of Internet of Things, the system comprising:

[0038] A BIM model acquisition module is used to acquire a BIM model of the building to be managed that contains energy supply lines; the energy supply lines include water supply lines, power supply lines, and gas supply lines;

[0039] The completeness analysis module is used to merge the various building units in the BIM model according to the building's occupancy record information, and as a management unit, determine the data completeness of each management unit according to the monitoring equipment installed in each building unit;

[0040] A coreness analysis module, used to determine the energy consumption data of each management unit based on the monitoring equipment, analyze the energy consumption data, and determine the coreness of each management unit; wherein the energy consumption data includes water consumption data, electricity consumption data, and gas consumption data;

[0041] The data collection module is used to receive a management request containing a management level input by a management party, determine the amount of monitoring data according to the management level, select a management unit of the monitoring data volume based on the data completeness and the core degree, and obtain its energy consumption data.

[0042] As a further solution of the present invention: the integrity analysis module includes:

[0043] A filing information query unit is used to query the building's occupancy filing information and obtain the occupancy unit and its filing address;

[0044] The building unit corresponding to the registered address is counted with the resident unit as the label, which serves as the management unit;

[0045] Query the monitoring devices installed in each building unit and their activation status, and determine the data integrity based on the monitoring devices installed in the same management unit and their activation status;

[0046] The calculation process of the data integrity is:

[0047] ; In the formula, Indicates data integrity. is the preset correction factor, is the number of activations of the device, The total number of devices.

[0048] As a further solution of the present invention: the coreness analysis module includes:

[0049] A data statistics unit, used to receive and accumulate energy consumption data uploaded by activated monitoring devices to obtain an energy consumption data sequence;

[0050] A feature extraction unit is used to extract features from the energy consumption data sequence to obtain sequence features;

[0051] The data comparison unit is used to compare the sequence characteristics of different management units and determine the coreness of each management unit;

[0052] The calculation process of the core degree is:

[0053] ; is the similarity between the sequence characteristics of the current management unit and the sequence characteristics of another management unit; represents the mean of similarity, represents the standard deviation of similarity; and is the preset correction factor.

[0054] As a further solution of the present invention: the data acquisition module includes:

[0055] A request receiving unit, used for receiving a management request containing a management level input by a management party;

[0056] A data volume query unit, used to query the monitoring data volume in a preset quantity table;

[0057] A unit matching unit, used to match the data completeness and coreness based on the monitoring data volume, and determine a matching management unit;

[0058] The frequency adjustment unit is used to synchronously determine the data acquisition frequency of the matched management unit according to the matching result, and acquire its energy consumption data based on the data acquisition frequency.

[0059] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention determines the data integrity of each occupant according to the number of monitoring devices in each building unit, compares the energy consumption data of different occupants, determines the coreness of each occupant, and randomly selects a limited number of management units based on the two parameters of data integrity and coreness to perform data collection and identification, thereby converting the original global scheme into a sampling scheme, greatly improving the recognition speed while ensuring a certain recognition accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0061] Figure 1 This is a flowchart of the centralized management method for water, electricity and gas security under the Internet of Things perspective.

[0062] Figure 2 This is a structural block diagram of the water, electricity and gas security centralized management system under the Internet of Things. DETAILED DESCRIPTION

[0063] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0064] Figure 1 The flowchart of the method for centralized management of water, electricity and gas security in the field of the Internet of Things is shown in FIG. In an embodiment of the present invention, a method for centralized management of water, electricity and gas security in the field of the Internet of Things includes:

[0065] Step S100: Obtaining a BIM model of the building to be managed that includes energy supply lines; the energy supply lines include water supply lines, power supply lines, and gas supply lines;

[0066] BIM model (Building Information Modeling) is a digital three-dimensional building model that integrates a variety of information such as the building's geometric shape, spatial relationships, materials and construction process; most of the existing buildings will simultaneously create a BIM model during construction. In fact, the BIM model covers a lot of content. This application only requires the three-dimensional model of the building and its energy supply line; the energy supply line is a high-level concept, including water supply lines, power supply lines and gas supply lines. In other words, the energy involved in this application includes water, electricity and gas.

[0067] Step S200: merging each building unit in the BIM model according to the building registration information as a management unit, and determining the data integrity of each management unit according to the monitoring equipment installed in each building unit;

[0068] The scenarios faced by this application are generally office buildings or workshops. Different locations in the workshop are allocated to different units for use. The building's occupancy registration information, that is, its address at the time of registration, is queried, and the building units are merged according to the occupancy registration information. The combination of building units corresponding to each unit is called a management unit; wherein the building unit is the component unit of the building. For an office building, the building unit is each room, and for a workshop, it is each small area.

[0069] After obtaining the management unit, the number of monitoring devices installed in each building unit is obtained. According to the number of monitoring devices installed in each building unit, the total number of monitoring devices in each management unit can be determined. The larger the total number, the more data can be obtained, and the corresponding data integrity is also higher.

[0070] Step S300: determining energy consumption data of each management unit based on the monitoring device, analyzing the energy consumption data, and determining the coreness of each management unit; wherein the energy consumption data includes water consumption data, electricity consumption data, and gas consumption data;

[0071] The monitoring equipment includes water meters, electricity meters and gas meters. These meters all have data monitoring functions and data uploading functions. The monitoring equipment obtains the energy consumption data of each management unit, and analyzes the energy consumption data to determine the core degree of each management unit. In the technical solution of the present invention, the core degree is related to the difference between the current management unit and other management units. The smaller the difference with other management units, the more consistent the current management unit is with all the units in the entire building, and its energy consumption data has greater value because the energy consumption data of other units can be inferred, that is, the core degree is higher.

[0072] Step S400: receiving a management request containing a management level input by a management party, determining a monitoring data volume according to the management level, selecting a monitoring data volume management unit based on the data integrity and the coreness, and obtaining its energy consumption data;

[0073] The management request containing the management level is received from the management party. The higher the management level, the more data needs to be obtained. The amount of data obtained is represented by the parameter of monitoring data volume. The relationship between the management level and the monitoring data volume is preset, such as a table, in which the corresponding monitoring data volume can be read according to the management level.

[0074] After determining the amount of monitoring data, based on data completeness and issuance

[0075] Regarding step S200, the step of merging the various building units in the BIM model according to the building registration information, and determining the data integrity of each management unit as a management unit according to the monitoring equipment installed in each building unit includes:

[0076] Query the building's occupancy registration information and obtain the occupancy unit and its registration address;

[0077] The building unit corresponding to the registered address is counted with the resident unit as the label, which serves as the management unit;

[0078] Query the monitoring devices installed in each building unit and their activation status, and determine the data integrity based on the monitoring devices installed in the same management unit and their activation status;

[0079] The calculation process of the data integrity is:

[0080] ; In the formula, Indicates data integrity. is the preset correction factor, is the number of activations of the device, The total number of devices.

[0081] The above content explains the calculation process of data completeness. It queries the building's occupancy registration information, obtains the occupant unit and its registration address, and counts the building units pointed to by all the registration addresses corresponding to the same occupant unit to obtain the management unit. The monitoring equipment must be registered when in use. The installed monitoring equipment and its activation status are queried in the registration information to obtain the number of devices and the number of activations. The activation status includes activated and unactivated. The activated ones are the monitoring equipment put into use.

[0082] Regarding the calculation process of data integrity, it is proportional to the number of activated devices and the total number of devices. The weight of the impact of activated devices is higher, and the weight of the impact of the total number of devices is slightly lower. Therefore, A logarithmic function is introduced above.

[0083] Regarding step S300, the step of determining the energy usage data of each management unit based on the monitoring device, analyzing the energy usage data, and determining the coreness of each management unit includes:

[0084] Receive and accumulate energy consumption data uploaded by activated monitoring devices to obtain an energy consumption data sequence;

[0085] Extract features from the energy consumption data sequence to obtain sequence features;

[0086] Compare the sequence characteristics of different management units to determine the coreness of each management unit;

[0087] The calculation process of the core degree is:

[0088] ; is the similarity between the sequence characteristics of the current management unit and the sequence characteristics of another management unit; represents the mean of similarity, represents the standard deviation of similarity; and is the preset correction factor.

[0089] The above content limits the calculation process of the core degree. The energy consumption data uploaded by the activated monitoring equipment is received and sorted in chronological order, which is called accumulation, to obtain the energy consumption data sequence. The features of the energy consumption data sequence are extracted to obtain the sequence features, and the sequence features of different management units are compared to determine the core degree of each management unit.

[0090] In fact, the feature extraction process is a simplified solution. It is also feasible to directly compare the energy consumption data series. However, the amount of data in the comparison process will be very large, and the comparison is done pairwise, with a large number of comparisons. The number of comparisons is After extracting features, the number of feature extractions is This greatly simplifies resource requirements, and the more energy consumption data sequences there are, the more obvious the simplification effect is.

[0091] Regarding the coreness of a certain management unit, the coreness is calculated by similarity. For each management unit, there is a similarity between it and other management units, and all similarities form an array. By identifying and analyzing the array, we can get the two parameters of mean and standard deviation. The larger the mean, the more similar the management unit is to other management units. At this time, the coreness is greater; the smaller the standard deviation, the difference in similarity between the management unit and other management units will not be too large. At this time, the coreness is greater.

[0092] Regarding step S400, the step of receiving a management request containing a management level input by a management party, determining the amount of monitoring data according to the management level, selecting a management unit of the monitoring data amount based on the data integrity and the coreness, and obtaining its energy consumption data includes:

[0093] Receiving a management request containing a management level input by a management party;

[0094] Query the monitoring data volume in the preset quantity table;

[0095] Based on the monitoring data volume, matching data completeness and coreness, determining a matching management unit;

[0096] The data acquisition frequency of the matched management unit is synchronously determined according to the matching result, and its energy consumption data is acquired based on the data acquisition frequency.

[0097] In one example of the technical solution of the present invention, a management request containing a management level is received from a management party, and the management level queries the monitoring data volume in a preset quantity table. The monitoring data volume is compared with the data integrity and coreness of each management unit, and the matching management unit can be determined as the unit for the data to be obtained.

[0098] In conventional solutions, the data acquisition frequency is fixed. In this regard, the present application provides a dynamic data acquisition frequency, which adjusts the data acquisition frequency according to the matching process itself.

[0099] Specifically, the process of matching the data integrity and coreness based on the monitoring data volume and determining the matching management unit is as follows:

[0100] Determine the selection probability according to the data completeness and coreness, randomly select the management unit based on the selection probability, obtain the data volume of the selected management unit and accumulate it. When the total accumulated data volume is greater than the monitoring data volume, the selected management unit will be used as the matching management unit;

[0101] Among them, the amount of data from the management unit is proportional to the number of activated monitoring devices;

[0102] The process of determining the frequency of data acquisition is:

[0103] The number of matching management units is queried, and the frequency of data acquisition is determined according to the inverse ratio of the number.

[0104] In one example of the technical solution of the present invention, the method further comprises:

[0105] Regularly collect statistics on energy consumption data of all management units;

[0106] Converting the energy consumption data into a color value space to obtain display parameters;

[0107] The display parameters are filled into a three-dimensional map; the three-dimensional map is generated based on a BIM model.

[0108] In an example of the technical solution of the present invention, a visualization display solution is also provided. At preset time intervals, the energy consumption data of all management units are statistically acquired, and the energy consumption data are converted into a color value space to obtain display parameters. The conversion process is not complicated. It is to use a preset linear function to convert the energy consumption data into a color value space. The color value space can be an RGB space, which is a three-dimensional array, and the value of each element is an integer between 0 and 255.

[0109] Fill the determined display parameters into the three-dimensional map and display it. At this time, the administrator can intuitively view the distribution of energy consumption data.

[0110] Figure 2 The structure diagram of the water, electricity and gas security centralized management system in the field of Internet of Things is shown in FIG. In the embodiment of the present invention, a water, electricity and gas security centralized management system in the field of Internet of Things is provided. The system 10 includes:

[0111] The BIM model acquisition module 11 is used to acquire a BIM model of the building to be managed that contains energy supply lines; the energy supply lines include water supply lines, power supply lines and gas supply lines;

[0112] The completeness analysis module 12 is used to merge the various building units in the BIM model according to the building entry record information, and as a management unit, determine the data completeness of each management unit according to the monitoring equipment installed in each building unit;

[0113] The coreness analysis module 13 is used to determine the energy consumption data of each management unit based on the monitoring equipment, analyze the energy consumption data, and determine the coreness of each management unit; wherein the energy consumption data includes water consumption data, electricity consumption data, and gas consumption data;

[0114] The data collection module 14 is used to receive a management request containing a management level input by a manager, determine the amount of monitoring data according to the management level, select a management unit of the monitoring data amount based on the data integrity and the core degree, and obtain its energy consumption data.

[0115] Furthermore, the integrity analysis module 12 includes:

[0116] A filing information query unit is used to query the building's occupancy filing information and obtain the occupancy unit and its filing address;

[0117] The building unit corresponding to the registered address is counted with the resident unit as the label, which serves as the management unit;

[0118] Query the monitoring devices installed in each building unit and their activation status, and determine the data integrity based on the monitoring devices installed in the same management unit and their activation status;

[0119] The calculation process of the data integrity is:

[0120] ; In the formula, Indicates data integrity. is the preset correction factor, is the number of activations of the device, The total number of devices.

[0121] Specifically, the coreness analysis module 13 includes:

[0122] A data statistics unit, used to receive and accumulate energy consumption data uploaded by activated monitoring devices to obtain an energy consumption data sequence;

[0123] A feature extraction unit is used to extract features from the energy consumption data sequence to obtain sequence features;

[0124] The data comparison unit is used to compare the sequence characteristics of different management units and determine the coreness of each management unit;

[0125] The calculation process of the core degree is:

[0126] ; is the similarity between the sequence characteristics of the current management unit and the sequence characteristics of another management unit; represents the mean of similarity, represents the standard deviation of similarity; and is the preset correction factor.

[0127] Furthermore, the data acquisition module 14 includes:

[0128] A request receiving unit, used for receiving a management request containing a management level input by a management party;

[0129] A data volume query unit, used to query the monitoring data volume in a preset quantity table;

[0130] A unit matching unit, used to match the data completeness and coreness based on the monitoring data volume, and determine a matching management unit;

[0131] The frequency adjustment unit is used to synchronously determine the data acquisition frequency of the matched management unit according to the matching result, and acquire its energy consumption data based on the data acquisition frequency.

[0132] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A centralized management method for water, electricity and gas security in the field of Internet of Things, characterized in that: The method comprises: Obtaining a BIM model of the building to be managed that includes energy supply lines; the energy supply lines include water supply lines, power supply lines, and gas supply lines; The various building units in the BIM model are merged according to the building registration information. As the management unit, the data integrity of each management unit is determined according to the monitoring equipment installed in each building unit, including: Query the building's occupancy registration information and obtain the occupancy unit and its registration address; The building unit corresponding to the registered address is counted with the resident unit as the label, which serves as the management unit; Query the monitoring devices installed in each building unit and their activation status, and determine the data integrity based on the monitoring devices installed in the same management unit and their activation status; Determine the energy consumption data of each management unit based on the monitoring device, analyze the energy consumption data, and determine the coreness of each management unit, including: Receive and accumulate energy consumption data uploaded by activated monitoring devices to obtain an energy consumption data sequence; Extract features from the energy consumption data sequence to obtain sequence features; Compare the sequence characteristics of different management units to determine the coreness of each management unit; wherein the energy consumption data includes water consumption data, electricity consumption data and gas consumption data; The calculation process of core degree is: ; is the similarity between the sequence characteristics of the current management unit and the sequence characteristics of another management unit; represents the mean of similarity, represents the standard deviation of similarity; and is the preset correction factor; Receiving a management request containing a management level input by a management party, determining the amount of monitoring data according to the management level, selecting a management unit of the monitoring data amount based on the data integrity and the coreness, and obtaining its energy consumption data, including: Receiving a management request containing a management level input by a management party; Query the monitoring data volume in the preset quantity table; Based on the monitoring data volume, matching data integrity and coreness, the matching management unit is determined, including: Determine the selection probability according to the data completeness and coreness, randomly select the management unit based on the selection probability, obtain the data volume of the selected management unit and accumulate it. When the total accumulated data volume is greater than the monitoring data volume, the selected management unit will be used as the matching management unit; Among them, the amount of data from the management unit is proportional to the number of activated monitoring devices; The process of determining the frequency of data acquisition is: Query the number of matching management units and determine the frequency of data acquisition based on the inverse ratio of the number; The data acquisition frequency of the matched management unit is synchronously determined according to the matching result, and its energy consumption data is acquired based on the data acquisition frequency.

2. The method for centralized management of water, electricity and gas security in the field of Internet of Things according to claim 1 is characterized in that: The calculation process of data integrity is: ; In the formula, Indicates data integrity. is the preset correction factor, is the number of activations of the device, The total number of devices.

3. The method for centralized management of water, electricity and gas security in the field of Internet of Things according to claim 1 is characterized in that: The method further comprises: Regularly collect statistics on energy consumption data of all management units; Converting the energy consumption data into a color value space to obtain display parameters; The display parameters are filled into a three-dimensional map; the three-dimensional map is generated based on a BIM model.

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