Intelligent operation and maintenance system and method of building based on intelligent electricity management
Through the smart power consumption management system, the office electricity consumption data is collected and analyzed, abnormal power loads are identified and the judgment threshold is calculated, and the power consumption is managed in real time, which solves the risk of power outages and fires caused by excessive power load in building buildings, achieving more efficient and safe power consumption management.
Patent Information
- Application Number
- CN202410751525.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-12
- Publication Date
- 2025-02-28
- Estimated Expiration
- 2044-06-12
AI Technical Summary
Due to the simultaneous use of multiple equipment with excessive power load in the office in a building, it may exceed the rating of the protection device, which in turn causes power outages and fire risks. It is difficult for the existing technology to effectively manage and prevent such situations.
Through the intelligent operation and maintenance system of building buildings based on smart electricity management, the office power load is collected, the ratings of the circuit protection device are compared, abnormal power load is identified, and the duration of triggering the protection device is tested, the level range is divided, the threshold is calculated, and the power consumption is calculated in real time is monitored and managed, and the number of triggers of the protection device is reduced.
It effectively reduces the number of times the protection device is triggered due to abnormal power loads, reduces the risk of power outages and fires, and improves the safety and management efficiency of electricity use in buildings.
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Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of smart electricity management, and specifically to a smart operation and maintenance system and method for a building based on smart electricity management. Background Art
[0002] With the development of science and technology, the demand for electricity in buildings is increasing. The power load of some new electrical equipment may be too large. If multiple devices with excessive power load are used at the same time in the office, the rated value of the protection device in the building will be exceeded. When the management personnel detect abnormal power load, they need to notify the office manager to deactivate the equipment. If the notification is not timely, it may cause power outages and fires in the building. Therefore, a smart operation and maintenance system and method for buildings based on smart electricity management is needed. By monitoring the power load of office electricity and managing office electricity consumption, the number of times the protection device is triggered can be greatly reduced. Summary of the invention
[0003] The purpose of the present invention is to provide a smart operation and maintenance system and method for a building based on smart electricity management to solve the problems raised in the above-mentioned background technology.
[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: a smart operation and maintenance method for a building based on smart electricity management, the method comprising:
[0005] Step S100: Collecting the power load of offices in the building, and obtaining an abnormal power load set by comparing with the rated value of the circuit protection device;
[0006] Step S200: According to the abnormal power load set, the time taken for the protection device to be triggered is collected, and the level range of the time taken for triggering is obtained by calculation according to the time taken for triggering, and each level range of the abnormal power load is obtained by analysis according to each level range;
[0007] Step S300: according to each level set of abnormal power load, the corresponding triggering time length in each level is collected, and the time taken from the manager notifying the office manager to stop using the abnormal power load equipment to the abnormal power load equipment stopping working is collected, and the judgment threshold of the triggering time length of each level of abnormal power load is obtained by calculation;
[0008] Step S400: Collect office power load in real time, and determine the power load to obtain measures for office power management.
[0009] Furthermore, step S100 includes:
[0010] Step S101: collecting the power load of each office in the building and collecting them to obtain a power load collection in the building;
[0011] Step S102: Compare the rated value of the circuit protection device in the building with each power load in the power load set, and the power load that exceeds the rated value of the protection device is an abnormal power load. The abnormal power loads are grouped together to obtain an abnormal power load set.
[0012] The above steps are equivalent to collecting the power load of each office in the building. By comparing the rated values of the protection devices, the abnormal power load set in the building is obtained, which supports the subsequent analysis.
[0013] Further, step S200 includes:
[0014] Step S201: retrieve the abnormal power load set, test the protection device, input each abnormal power load in the abnormal power load set into the protection device, start timing from when the abnormal power load is input into the protection device, if the protection device is triggered, stop timing when the protection device is triggered, record the triggering time, and establish a triggering time set;
[0015] Step S202: Calculate the trigger duration set to obtain the standard deviation of the trigger duration as a and the average value of the trigger duration as b. According to the formula: t=t max -t min , where t min ,t max are the minimum and maximum values of the trigger duration set, and t is the range of the trigger duration. According to the formula: Where r represents the duration of triggering, which has r levels, according to the formula: d r =bk r ×a, where d r The rth level range threshold is represented by the duration of the trigger, k r is the weight of the rth level range threshold of the trigger duration, and the level range of the trigger duration is [t min ,d1),[d1,d2),[d2,d3),...,[d r-1 ,d r ),[d r ,t max ], where d1, d2, d3, ..., d r-1 They represent the 1st, 2nd, 3rd, ..., r-1th level range thresholds of the triggering duration respectively;
[0016] Step S203: By traversing the k value, the number of data within the rth level range collected during the i-th traversal triggering time is c andir , by calculating the sum of the number differences between each level, we get k r , according to the formula: w i1 =c i2 -c i1 、w i2 =c i3 -c i2 ,... ir =c ir -c ir-1 , w i =w i1 +w i2 +...+w ir , where w i1 、w i2 , ..., w ir They are respectively expressed as the difference in number between the 1st and 2nd, 2nd and 3rd, ..., r-1st and rth levels collected after the i-th traversal, and w i It is expressed as the sum of the differences in the number of items collected at each level in the i-th traversal, c i1 、c i2 、c i3 ,...c ir-1 They represent the number of data in the 1st, 2nd, 3rd, ..., r-1th level ranges during the i-th traversal triggering time, and the w obtained in each traversal is i Sort by the smallest value w i The corresponding k r Enter the value of into the formula to get d' r , the trigger duration of the 1st, 2nd, 3rd, ..., rth level range becomes [t min ,d'1),[d'1,d'2),[d'2,d'3),...,[d' r ,t max ], where d'1, d'2, d'3, ..., d' r are the 1st, 2nd, 3rd, ..., rth level range thresholds of the optimal triggering duration respectively;
[0017] Step S204: The abnormal power load corresponding to the minimum and maximum values in the jth level according to the trigger duration is P jmin and P jmax , the jth level of abnormal power load range is [P jmin ,P jmax ], the abnormal power loads that meet the j-th level range of abnormal power loads are grouped together to obtain the j-th level set of abnormal power loads. The first judgment condition for power management is to judge the abnormal power load level.
[0018] The above steps are equivalent to testing the protection device, inputting the abnormal power load set into the protection device, collecting the triggering time corresponding to each abnormal power load that causes the protection device to be triggered, and obtaining the level range of the triggering time by calculation. The minimum and maximum values of the abnormal power loads corresponding to each level set of the triggering time are used as the level ranges of the abnormal power loads, which supports subsequent analysis.
[0019] Furthermore, step S300 includes:
[0020] Step S301: Retrieve each level set of abnormal power loads, and collect the triggering duration corresponding to each abnormal power load in the j-th level set of abnormal power loads to obtain the minimum triggering duration of the j-th level of abnormal power loads as t jmin ;
[0021] Step S302: start timing when the manager notifies the office manager to stop using the abnormal power load device, and end timing when the abnormal power load device stops working, collect the time taken for the abnormal power load device to stop working, and calculate the average time taken for the abnormal power load device to stop working as t1;
[0022] Step S303: According to t jmin The relationship between t1 and t2 is used to obtain the judgment threshold of the triggering time of the abnormal power load level j. According to the formula: t j =t jmin -t1, where t j is the judgment threshold of the duration used to trigger the jth level of abnormal power load.
[0023] The above steps are equivalent to aggregating the triggering time corresponding to each abnormal power load in each level set of abnormal power loads according to each level set of abnormal power loads, obtaining the minimum value of the set, collecting the time taken from the time when the manager notifies the office manager to stop using the abnormal power load equipment to the time when the abnormal power load equipment stops working, and calculating the average time taken. The judgment threshold of the triggering time of each level of abnormal power load is calculated according to the formula, which supports subsequent analysis.
[0024] Furthermore, step S400 includes:
[0025] Step S401: real-time collection of the office's real-time power load. When the real-time power load exceeds the preset value of the protection device, the real-time power load is first judged to obtain the corresponding abnormal power load level.
[0026] Step S402: According to the abnormal power load level, a judgment threshold of the triggering time of the corresponding level is obtained, and timing starts when the real-time power load is abnormal. By analyzing the judgment threshold of the abnormal time and the triggering time, the office electricity consumption is managed. When the abnormal time does not reach the judgment threshold, the office manager is notified to disable the abnormal power load equipment. When the abnormal time reaches the judgment threshold, the office power is immediately cut off.
[0027] The above steps are equivalent to collecting the real-time power load of each office in real time, comparing the real-time power load with the rated value of the protection device, and if it exceeds the rated value, the real-time power load is judged for the first time to obtain the abnormal power load level corresponding to the real-time power load, and then obtain the judgment threshold of the triggering time corresponding to the abnormal power load level, collect the time when the real-time power load exceeds the rated value, and manage the office electricity consumption.
[0028] In order to better implement the above method, a building intelligent operation and maintenance system based on intelligent power management is also proposed. The system includes an office historical data module, an abnormal power load module, a triggering time module, and a real-time control module.
[0029] Office historical data module: collects the power load of office electricity in the building, and obtains the abnormal power load set by comparing it with the rated value of the circuit protection device;
[0030] Abnormal power load module: according to the abnormal power load set, collect the time taken for the protection device to be triggered, calculate according to the time taken for the triggering, obtain the various level ranges of the time taken for the triggering, analyze according to the various level ranges, and obtain the various level ranges of the abnormal power load;
[0031] Trigger duration module: according to the set of each level of abnormal power load, the corresponding trigger duration in each level is collected, and the time taken from the manager notifying the office manager to stop using the abnormal power load equipment to the abnormal power load equipment stopping working is collected, and the judgment threshold of the trigger duration of each level of abnormal power load is obtained by calculation;
[0032] Real-time control module: collects the real-time power load of office electricity in real time, and manages office electricity consumption by judging the real-time power load.
[0033] Furthermore, the office historical data module includes a unit for collecting and analyzing historical data and a unit for establishing an abnormal data set;
[0034] Collect and analyze historical data unit: collect the power load of offices in the building and establish a power load set;
[0035] Establish an abnormal data collection unit: compare the power load collection with the rated value of the protection device, record the power load exceeding the rated value of the protection device, and establish an abnormal power load collection.
[0036] Further, the abnormal power load module includes a unit for analyzing the duration of the trigger and a unit for establishing a level range;
[0037] Triggering time analysis unit: input the abnormal power load set into the protection device, collect the time taken to trigger the protection device, and obtain the various level ranges of the triggering time by calculation;
[0038] Establishing a level range unit: According to each level range of the triggering time, the abnormal power load level range is obtained through analysis.
[0039] Furthermore, the triggering time module includes a call answering unit and a time threshold unit;
[0040] Analyze the answering phone unit: collect the time that the office manager spends answering calls from managers to get the average time spent answering calls;
[0041] Analysis time threshold unit: According to the set of various levels of abnormal power load, the minimum value of the triggering time of each level of abnormal power load is obtained by analysis, and the judgment threshold of the triggering time of each level of abnormal power load is obtained by calculation.
[0042] Further, the real-time control module includes collecting real-time power load units and analyzing real-time power load units;
[0043] Real-time power load collection unit: collects the office's power load in real time;
[0044] Analyze the real-time power load unit: When the power load exceeds the rated value of the protection device, start timing to determine the abnormal power load level, and then obtain the judgment threshold of the triggering time of the corresponding level, and manage the office electricity consumption according to the judgment threshold.
[0045] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention obtains the abnormal power load by collecting the power load of each office in the building, and compares it with the rated value of the protection device; tests the protection device to obtain the time taken to trigger the protection device, divides the time taken to trigger into levels, calculates the various level ranges of the time taken to trigger, and obtains the various level ranges of the abnormal power load based on the various level ranges of the time taken to trigger; calculates the judgment threshold of the time taken to trigger each level of the abnormal power load based on the average time taken from the manager notifying the person in charge to stop using the equipment to the equipment stopping working; monitors the power load of the office in real time, manages the office electricity according to the judgment conditions, and reduces the number of times the protection device is triggered. BRIEF DESCRIPTION OF THE DRAWINGS
[0046] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:
[0047] Figure 1 It is a flow chart of the intelligent operation and maintenance method of a building based on intelligent electricity management of the present invention;
[0048] Figure 2 It is a structural schematic diagram of the intelligent operation and maintenance system of a building based on intelligent electricity management of the present invention. DETAILED DESCRIPTION
[0049] See also Figure 1-2 The present invention provides a technical solution: a smart operation and maintenance method for a building based on smart electricity management, the method comprising:
[0050] Step S100: Collecting the power load of offices in the building, and obtaining an abnormal power load set by comparing with the rated value of the circuit protection device;
[0051] Wherein, step S100 includes:
[0052] Step S101: collecting the power load of each office in the building and collecting them to obtain a power load collection in the building;
[0053] Step S102: Compare the rated value of the circuit protection device in the building with each power load in the power load set, and the power load that exceeds the rated value of the protection device is an abnormal power load. The abnormal power loads are grouped together to obtain an abnormal power load set.
[0054] For example, the power load set collected in the building is {2.6KW, 5.8KW, 15KW, 28KW, 35KW, 37KW, 46KW, 48KW, 32KW, 42KW, 53KW, 60KW}, and the rated value of the circuit protection device in the building is 30KW. By comparison, the abnormal power load set is {35KW, 37KW, 46KW, 48KW, 32KW, 42KW, 53KW, 60KW}.
[0055] Step S200: According to the abnormal power load set, the time taken for the protection device to be triggered is collected, and the level range of the time taken for triggering is obtained by calculation according to the time taken for triggering, and each level range of the abnormal power load is obtained by analysis according to each level range;
[0056] Wherein, step S200 includes:
[0057] Step S201: retrieve the abnormal power load set, test the protection device, input each abnormal power load in the abnormal power load set into the protection device, start timing from when the abnormal power load is input into the protection device, if the protection device is triggered, stop timing when the protection device is triggered, record the triggering time, and establish a triggering time set;
[0058] For example, when the abnormal power load set is input into the protection device for testing, the triggering time corresponding to 35KW is 40 minutes, the triggering time corresponding to 37KW is 34 minutes, the triggering time corresponding to 46KW is 19 minutes, the triggering time corresponding to 48KW is 14 minutes, the triggering time corresponding to 32KW is 48 minutes, the triggering time corresponding to 42KW is 25 minutes, the triggering time corresponding to 53KW is 8 minutes, and the triggering time corresponding to 60KW is 5 minutes.
[0059] The set of trigger durations is {40, 34, 19, 14, 48, 25, 8, 5}.
[0060] Step S202: Calculate the trigger duration set to obtain the standard deviation of the trigger duration as a and the average value of the trigger duration as b. According to the formula: t=t max -t min , where t min ,t max are the minimum and maximum values of the trigger duration set, and t is the range of the trigger duration. According to the formula: Where r represents the duration of triggering, which has r levels, according to the formula: d r =bk r ×a, where d rThe rth level range threshold is represented by the duration of the trigger, k r is the weight of the rth level range threshold of the trigger duration, and the level range of the trigger duration is [t min ,d1),[d1,d2),[d2,d3),...,[d r-1 ,d r ),[d r ,t max ], where d1, d2, d3, ..., d r-1 They represent the 1st, 2nd, 3rd, ..., r-1th level range thresholds of the triggering duration respectively;
[0061] Step S203: By traversing the k value, the number of data within the rth level range collected during the i-th traversal triggering time is c and ir , by calculating the sum of the number differences between each level, we get k r , according to the formula: w i1 =c i2 -c i1 、w i2 =c i3 -c i2 ,... ir =c ir -c ir-1 , w i =w i1 +w i2 +...+w ir , where w i1 、w i2 , ..., w ir They are respectively expressed as the difference in number between the 1st and 2nd, 2nd and 3rd, ..., r-1st and rth levels collected after the i-th traversal, and w i It is expressed as the sum of the differences in the number of items collected at each level in the i-th traversal, c i1 、c i2 、c i3 ,...c ir-1 They represent the number of data in the 1st, 2nd, 3rd, ..., r-1th level ranges during the i-th traversal triggering time, and the w obtained in each traversal is i Sort by the smallest value w i The corresponding k r Enter the value of into the formula to get d' r , the trigger duration of the 1st, 2nd, 3rd, ..., rth level range becomes [t min ,d'1),[d'1,d'2),[d'2,d'3),...,[d' r ,t max], where d'1, d'2, d'3, ..., d' r are the 1st, 2nd, 3rd, ..., rth level range thresholds of the optimal triggering duration respectively;
[0062] For example, the standard deviation of the trigger duration is calculated to be 14, the average trigger duration is 24, and the trigger duration has three levels. r After traversal calculation, we get the value of d1 to be 19, the value of d2 to be 26.8, and the ranges of the 1st, 2nd, and 3rd level of trigger duration are [5,19), [19,26.8), and [26.8,48] respectively.
[0063] Step S204: The abnormal power load corresponding to the minimum and maximum values in the jth level according to the trigger duration is P jmin and P jmax , the jth level of abnormal power load range is [P jmin ,P jmax ], the abnormal power loads that meet the j-th level range of abnormal power loads are grouped together to obtain the j-th level set of abnormal power loads. The first judgment condition for power management is to judge the abnormal power load level.
[0064] For example, the abnormal power loads corresponding to the minimum and maximum values in the first level of the trigger duration are 48KW and 60KW, and the first level range of the abnormal power load is [48KW, 60KW];
[0065] The abnormal power loads corresponding to the minimum and maximum values of the trigger duration in the second level are 42KW and 46KW, and the second level range of the abnormal power load is [42KW, 46KW];
[0066] The abnormal power loads corresponding to the minimum and maximum values in the third level of the trigger duration are 32KW and 37KW, and the third level range of the abnormal power load is [32KW, 37KW].
[0067] Step S300: according to each level set of abnormal power load, the corresponding triggering time length in each level is collected, and the time taken from the manager notifying the office manager to stop using the abnormal power load equipment to the abnormal power load equipment stopping working is collected, and the judgment threshold of the triggering time length of each level of abnormal power load is obtained by calculation;
[0068] Wherein, step S300 includes:
[0069] Step S301: Retrieve each level set of abnormal power loads, and collect the triggering duration corresponding to each abnormal power load in the j-th level set of abnormal power loads to obtain the minimum triggering duration of the j-th level of abnormal power loads as t jmin ;
[0070] For example, the minimum time length for triggering the first level of abnormal power load is 5 minutes; the minimum time length for triggering the second level of abnormal power load is 19 minutes; and the minimum time length for triggering the third level of abnormal power load is 34 minutes.
[0071] Step S302: start timing when the manager notifies the office manager to stop using the abnormal power load device, and end timing when the abnormal power load device stops working, collect the time taken for the abnormal power load device to stop working, and calculate the average time taken for the abnormal power load device to stop working as t1;
[0072] Step S303: According to t jmin The relationship between t1 and t2 is used to obtain the judgment threshold of the triggering time of the abnormal power load level j. According to the formula: t j =t jmin -t1, where t j is the judgment threshold of the duration used to trigger the jth level of abnormal power load.
[0073] For example, the average time taken for abnormal power load equipment to stop working is 25 seconds, and the judgment threshold for the time taken to trigger the first level of abnormal power load is 4 minutes and 35 seconds.
[0074] The judgment threshold of the duration used to trigger the second level of abnormal power load is 18 minutes and 35 seconds;
[0075] The judgment threshold of the duration used for triggering the third level of abnormal power load is 33 minutes and 35 seconds.
[0076] Step S400: Collect office power load in real time, and determine the power load to obtain measures for office power management.
[0077] Wherein, step S400 includes:
[0078] Step S401: real-time collection of the office's real-time power load. When the real-time power load exceeds the preset value of the protection device, the real-time power load is first judged to obtain the corresponding abnormal power load level.
[0079] Step S402: According to the abnormal power load level, a judgment threshold of the triggering time of the corresponding level is obtained, and timing starts when the real-time power load is abnormal. By analyzing the judgment threshold of the abnormal time and the triggering time, the office electricity consumption is managed. When the abnormal time does not reach the judgment threshold, the office manager is notified to disable the abnormal power load equipment. When the abnormal time reaches the judgment threshold, the office power is immediately cut off.
[0080] For example, the real-time power load of the office is 53KW. By comparing the rated value of the protection device, it is found that the real-time power load exceeds the rated value. The real-time power load is judged for the first time and is the first level of abnormal power load. The judgment threshold of the time taken to trigger the first level of abnormal power load is 4 minutes and 35 seconds. The abnormal duration of the real-time power load is recorded, and the person in charge of the office is notified before the abnormal duration reaches the judgment threshold. When the abnormal duration reaches the judgment threshold, the office is forcibly cut off from power.
[0081] In order to better implement the above method, a building intelligent operation and maintenance system based on intelligent power management is also proposed. The system includes an office historical data module, an abnormal power load module, a triggering time module, and a real-time control module.
[0082] Office historical data module: collects the power load of office electricity in the building, and obtains the abnormal power load set by comparing it with the rated value of the circuit protection device;
[0083] Among them, the office historical data module includes a historical data collection and analysis unit and an abnormal data collection unit;
[0084] Collect and analyze historical data unit: collect the power load of offices in the building and establish a power load set;
[0085] Establish an abnormal data collection unit: compare the power load collection with the rated value of the protection device, record the power load exceeding the rated value of the protection device, and establish an abnormal power load collection.
[0086] Abnormal power load module: according to the abnormal power load set, collect the time taken for the protection device to be triggered, calculate according to the time taken for the triggering, obtain the various level ranges of the time taken for the triggering, analyze according to the various level ranges, and obtain the various level ranges of the abnormal power load;
[0087] Among them, the abnormal power load module includes a unit for analyzing the duration of triggering and a unit for establishing a level range;
[0088] Triggering time analysis unit: input the abnormal power load set into the protection device, collect the time taken to trigger the protection device, and obtain the various level ranges of the triggering time by calculation;
[0089] Establishing a level range unit: According to each level range of the triggering time, the abnormal power load level range is obtained through analysis.
[0090] Trigger duration module: according to the set of each level of abnormal power load, the corresponding trigger duration in each level is collected, and the time taken from the manager notifying the office manager to stop using the abnormal power load equipment to the abnormal power load equipment stopping working is collected, and the judgment threshold of the trigger duration of each level of abnormal power load is obtained by calculation;
[0091] The triggering time module includes a call answering analysis unit and a time threshold analysis unit;
[0092] Analyze the answering phone unit: collect the time that the office manager spends answering calls from managers to get the average time spent answering calls;
[0093] Analysis time threshold unit: According to the set of various levels of abnormal power load, the minimum value of the triggering time of each level of abnormal power load is obtained by analysis, and the judgment threshold of the triggering time of each level of abnormal power load is obtained by calculation.
[0094] Real-time control module: collects the real-time power load of office electricity in real time, and manages office electricity consumption by judging the real-time power load.
[0095] Among them, the real-time control module includes collecting real-time power load units and analyzing real-time power load units;
[0096] Real-time power load collection unit: collects the office's power load in real time;
[0097] Analyze the real-time power load unit: When the power load exceeds the rated value of the protection device, start timing to determine the abnormal power load level, and then obtain the judgment threshold of the triggering time of the corresponding level, and manage the office electricity consumption according to the judgment threshold.
[0098] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.
[0099] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. A smart operation and maintenance method for a building based on smart electricity management, characterized in that: Methods include: Step S100: collecting the power load of the office electricity in the building, and obtaining an abnormal power load set by comparing it with the rated value of the circuit protection device; Step S200: According to the abnormal power load set, the time taken for the protection device to be triggered is collected, and calculation is performed according to the time taken for the triggering to obtain various level ranges of the time taken for the triggering, and analysis is performed according to the various level ranges to obtain various level ranges of the abnormal power load; The step S200 includes: Step S201: retrieve the abnormal power load set, test the protection device, input each abnormal power load in the abnormal power load set into the protection device, start timing from when the abnormal power load is input into the protection device, if the protection device is triggered, stop timing when the protection device is triggered, record the triggering time, and establish a triggering time set; Step S202: Calculate the trigger duration set to obtain the standard deviation of the trigger duration as a and the average value of the trigger duration as b. According to the formula: t=t max -t min , where t min ,t max are the minimum and maximum values of the trigger duration set, and t is the range of the trigger duration. According to the formula: Where r represents the duration of triggering, which has r levels, according to the formula: d r =bk r ×a, where d r The rth level range threshold is represented by the duration of triggering, k r is the weight of the rth level range threshold of the trigger duration, and the level range of the trigger duration is [t min ,d1),[d1,d2),[d2,d3),...,[d r-1 ,d r ),[d r ,t max ], where d1, d2, d3, ..., d r-1 They represent the 1st, 2nd, 3rd, ..., r-1th level range thresholds of the triggering duration respectively; Step S203: By traversing the k value, the number of data within the rth level range collected during the i-th traversal triggering time is c and ir , by calculating the sum of the number differences between each level, we get k r , according to the formula: w i1 =c i2 -c i1 、w i2 =c i3 -c i2 ,... ir =c ir -c ir-1 , w i =w i1 +w i2 +...+w ir , where w i1 、w i2 , ..., w ir They are respectively expressed as the difference in number between the 1st and 2nd, 2nd and 3rd, ..., r-1st and rth levels collected after the i-th traversal, and w i It is expressed as the sum of the differences in the number of items collected at each level in the i-th traversal, c i1 、c i2 、c i3 ,...c ir-1 They represent the number of data in the 1st, 2nd, 3rd, ..., r-1th level ranges during the i-th traversal triggering time, and the w obtained in each traversal is i Sort by the smallest value w i The corresponding k r Enter the value of into the formula to get d' r , the trigger duration of the 1st, 2nd, 3rd, ..., rth level range becomes [t min ,d'1),[d'1,d'2),[d'2,d'3),...,[d' r ,t max ], where d'1, d'2, d'3, ..., d' r are the 1st, 2nd, 3rd, ..., rth level range thresholds of the optimal triggering duration respectively; Step S204: The abnormal power load corresponding to the minimum and maximum values in the jth level according to the trigger duration is P jmin and P jmax , the jth level of abnormal power load range is [P jmin ,P jmax ], the abnormal power loads that meet the j-th level range of abnormal power loads are collected to obtain the j-th level collection of abnormal power loads, and the first judgment condition for power management is to judge the abnormal power load level; Step S300: according to each level set of abnormal power load, the corresponding triggering time length in each level is collected, and the time taken from the manager notifying the office manager to stop using the abnormal power load equipment to the abnormal power load equipment stopping working is collected, and the judgment threshold of the triggering time length of each level of abnormal power load is obtained by calculation; The step S300 includes: Step S301: Retrieve each level set of abnormal power loads, and collect the triggering duration corresponding to each abnormal power load in the j-th level set of abnormal power loads to obtain the minimum triggering duration of the j-th level of abnormal power loads as t jmin ; Step S302: start timing when the manager notifies the office manager to stop using the abnormal power load device, and end timing when the abnormal power load device stops working, collect the time taken for the abnormal power load device to stop working, and calculate the average time taken for the abnormal power load device to stop working as t1; Step S303: According to t jmin The relationship between t1 and t2 is used to obtain the judgment threshold of the triggering time of the abnormal power load level j. According to the formula: t j =t jmin -t1, where t j is the judgment threshold of the duration used for triggering the jth level of abnormal power load; Step S400: collecting the real-time power load of office electricity in real time, and managing office electricity consumption by judging the real-time power load; The step S400 includes: Step S401: real-time collection of the office's real-time power load. When the real-time power load exceeds the preset value of the protection device, the real-time power load is first judged to obtain the corresponding abnormal power load level. Step S402: According to the abnormal power load level, a judgment threshold of the triggering time of the corresponding level is obtained, and timing starts when the real-time power load is abnormal. By analyzing the judgment threshold of the abnormal time and the triggering time, the office electricity consumption is managed. When the abnormal time does not reach the judgment threshold, the office manager is notified to disable the abnormal power load equipment. When the abnormal time reaches the judgment threshold, the office power is immediately cut off.
2. The intelligent operation and maintenance method of a building based on intelligent electricity management according to claim 1 is characterized in that: The step S100 includes the following steps: Step S101: collecting the power load of each office in the building and collecting them to obtain a power load collection in the building; Step S102: Compare the rated value of the circuit protection device in the building with each power load in the power load set, and the power load that exceeds the rated value of the protection device is an abnormal power load. The abnormal power loads are grouped together to obtain an abnormal power load set.
3. A smart operation and maintenance system for a building based on smart electricity management, used to implement the smart operation and maintenance method for a building based on smart electricity management as described in any one of claims 1-2, characterized in that: The system includes office historical data module, abnormal power load module, trigger duration module, and real-time control module; The office historical data module collects the power load of the office electricity in the building and obtains the abnormal power load set by comparing it with the rated value of the circuit protection device; The abnormal power load module: according to the abnormal power load set, collects the time taken for the protection device to be triggered, calculates according to the time taken for the triggering, obtains the various level ranges of the time taken for the triggering, and analyzes according to the various level ranges to obtain the various level ranges of the abnormal power load; The triggering time module: according to each level set of abnormal power load, the corresponding triggering time in each level is collected, and the time taken from the manager notifying the office manager to stop using the abnormal power load equipment to the abnormal power load equipment stopping working is collected, and the judgment threshold of the triggering time of each level of abnormal power load is obtained by calculation; The real-time control module collects the real-time power load of office electricity in real time, and manages office electricity consumption by judging the real-time power load.
4. The intelligent operation and maintenance system for buildings based on intelligent electricity management according to claim 3 is characterized in that: The office historical data module includes a historical data collection and analysis unit and an abnormal data collection unit; The historical data collection and analysis unit collects the power load of the offices in the building and establishes a power load set; The abnormal data set establishing unit compares the power load set with the rated value of the protection device, records the power load that exceeds the rated value of the protection device, and establishes the abnormal power load set.
5. The intelligent operation and maintenance system for buildings based on intelligent electricity management according to claim 3 is characterized in that: The abnormal power load module includes a time length unit for analyzing triggering and a level range establishment unit; The triggering time analysis unit: inputs the abnormal power load set into the protection device, collects the time taken to trigger the protection device, and obtains the various level ranges of the triggering time by calculation; The level range establishing unit obtains the abnormal power load level range through analysis according to each level range of the triggering time.
6. The intelligent operation and maintenance system for buildings based on intelligent electricity management according to claim 3 is characterized in that: The triggering time module includes a call answering analysis unit and a time threshold analysis unit; The answering call analysis unit collects the time spent by the office manager answering calls made by management personnel to obtain the average time spent answering calls; The analysis time threshold unit: according to each level set of abnormal power load, obtains the minimum value of the triggering time of each level of abnormal power load by analysis, and obtains the judgment threshold of the triggering time of each level of abnormal power load by calculation.
7. The intelligent operation and maintenance system for buildings based on intelligent electricity management according to claim 3 is characterized in that: The real-time control module includes a real-time power load unit for collecting and analyzing real-time power load units; The real-time power load collection unit is used to collect the power load of the office in real time; The real-time power load analysis unit starts timing when the power load exceeds the rated value of the protection device to determine the abnormal power load level, thereby obtaining a judgment threshold of the triggering time of the corresponding level, and managing office electricity consumption according to the judgment threshold.
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