Electricity management and control system and method for intelligent building

Abstract

The application discloses an electricity management and control system and method for an intelligent building, and relates to the technical field of energy management, and solves the technical problem that the method of peak-shaving electricity use in the prior art does not consider the impact on the business of the building operation, thereby reducing the income of the building; the application obtains the corresponding line used by the electricity-using equipment, obtains the line aging factor corresponding to the electricity-using equipment according to the aging condition of the line, and obtains the total power threshold of the building use according to the line aging factor; the type of the electricity-using equipment and the number of the corresponding type of equipment in the intelligent building are obtained; the power-off priority score of the electricity-using equipment is obtained; whether the total power of all the electricity-using equipment in the building exceeds the total power threshold of the building use is judged; if yes, the electricity-using equipment is subjected to power-off processing according to the power-off priority score of the electricity-using equipment; if not, the judgment is continued; the application reduces unnecessary energy waste and improves the electricity management and control efficiency of the building.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of energy management, and relates to intelligent control technology, in particular to an electricity management and control system and method for intelligent buildings. BACKGROUND

[0002] The intelligent building electricity management and control system can monitor the electricity consumption in the building in real time, including key parameters such as current, voltage, and power. Through data analysis, the system can identify the source of energy waste, such as excessive lighting and inefficient air conditioning operation, and take appropriate energy-saving measures. Management personnel can view the equipment status in real time through the remote monitoring interface, quickly respond to and handle faults, and improve operational efficiency. The system can develop a scientific maintenance plan based on equipment operation data to achieve preventive maintenance, which helps to extend the service life of equipment and reduce downtime and losses caused by equipment failure.

[0003] The prior art (CN114217152A) discloses a building electricity monitoring system based on a smart grid, which includes an electricity center management and control module, a real-time data monitoring module, an information interaction module, and a strategy development module. The electricity center management and control module controls the building electricity, and the electricity center management and control module includes a first master control unit and a second master control unit. The real-time data monitoring module is used to monitor various data of building electricity and analyze different data. The real-time data monitoring module includes a user data monitoring unit and a public data monitoring unit. The information interaction module is used to feed back the electricity consumption to the user and the administrator in time, and the user and the administrator control the electricity consumption according to the actual situation.

[0004] The prior art uses the method of peak-shaving electricity to reduce the electricity load, without considering the impact on the business of building operation, thereby reducing the building revenue. At the same time, it does not consider the wear and tear of the line caused by the start-stop times, thereby reducing the service life of the electricity equipment and increasing the energy cost.

[0005] The present application provides an electricity management and control system and method for intelligent buildings to solve the above technical problems. SUMMARY

[0006] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application provides an electricity management and control system and method for intelligent buildings to solve the technical problem that the prior art uses the method of peak-shaving electricity to reduce the electricity load without considering the impact on the business of building operation, thereby reducing the building revenue.

[0007] To achieve the above-mentioned purpose, the first aspect of the present application provides an electricity management and control system for intelligent buildings, which comprises a threshold setting module, a priority setting module, and a power-off management module connected thereto.

[0008] The threshold setting module: obtains the corresponding line used by the power-using equipment, obtains the line aging factor corresponding to the power-using equipment through the aging condition of the line, and obtains the total power threshold of the building according to the line aging factor;

[0009] The priority setting module: obtains the type of power-using equipment in the intelligent building and the number of equipment of the corresponding type; and obtains the power-off priority score of the power-using equipment.

[0010] The power-off management module: judges whether the total power of all power-using equipment in the building exceeds the total power threshold of the building; if yes, the power-using equipment is handled according to the power-off priority score of the power-using equipment; and if no, the judgment is continued.

[0011] Preferably, the system further comprises a user interaction module: for displaying the use condition of the power-using equipment and the power use condition to the user, and outputting the control instruction; wherein the use condition of the power-using equipment includes: the power-using equipment that has been turned on but is not in use and the power-using equipment that is in use; and the control instruction includes: the selection equipment type instruction and the power-off instruction.

[0012] The application outputs the control instruction, so that the system reasonably arranges the turning on and turning off of the power-using equipment, thereby optimizing the power-using behavior, reducing unnecessary energy waste, and promoting energy saving and consumption reduction.

[0013] Preferably, the line aging factor corresponding to the power-using equipment is obtained through the aging condition of the line, including:

[0014] S110: obtaining the local minimum and maximum temperature of the corresponding line used by the power-using equipment, judging whether the local minimum temperature is greater than the temperature aging threshold; if yes, marking T as the local maximum temperature of the line; and if no, marking T as the local minimum temperature of the line;

[0015] S120: obtaining the start-stop number QTC of the line corresponding to the power-using equipment within the set period T1, the line local discharge number JFC caused by voltage fluctuation and harmonic; and obtaining the line aging factor LH through the formula ; wherein the aging condition of the line includes: the line thermal aging caused by temperature change, the line electrical stress aging caused by line local discharge, and the line mechanical aging condition caused by line start-stop.

[0016] It should be noted that the temperature aging threshold is determined by the staff according to the results of multiple tests.

[0017] The application comprehensively considers the start-stop number of the line, the line local discharge number caused by voltage fluctuation and harmonic, and the three factors of temperature change, which is beneficial to more accurately evaluate the aging condition of the line. This multi-dimensional evaluation method improves the accuracy of line aging evaluation.

[0018] Preferably, the building total power threshold is obtained according to the line aging factor, comprising:

[0019] The rated power P1 of the line and the adjustment coefficient a are obtained, and the use power threshold of the power consumption equipment corresponding to the line is calculated by the formula ; wherein the value range of a is [0, 100]; q represents the qth line; the value range of q is [1, n], and n is a positive integer;

[0020] The building total power threshold PZ is calculated by the formula

[0021] The adjustment coefficient is obtained by judging whether lnLH is less than 1; if yes, a is the maximum integer satisfying the inequality a < 100*lnLH; if no, a takes the value of 100.

[0022] Preferably, the power-off priority score of the power consumption equipment is obtained, comprising:

[0023] S210: The type of power consumption equipment in the intelligent building is retrieved, wherein the type of power consumption equipment includes: network equipment, power supply guarantee equipment, environmental control equipment, and auxiliary electrical facilities;

[0024] S220: The disaster tolerance capability of the type of power consumption equipment is quantified to obtain a disaster tolerance capability score, and the disaster tolerance capability score of the ith power consumption equipment is marked as , and the disaster tolerance capability score of the kth type of power consumption equipment is marked as ; wherein i represents the ith power consumption equipment, and the value range of i is a positive integer; k represents the type of power consumption equipment, and k = 1, 2, 3, 4; the disaster tolerance capability includes: hardware, software, power supply, network communication, and operation and maintenance management level disaster tolerance capability;

[0025] S230: The business impact priority ranking is obtained, and a business impact priority score is set according to the business impact priority, and the business impact priority score is marked as YWN;

[0026] The power-off priority score of the kth type of power consumption equipment is calculated by the formula ; wherein a is the first score factor, and β is the second score factor; 0 < a < 1, 0 < β < 1, and a + β = 1.

[0027] It should be noted that the score factors a and β are specifically set by workers in the art according to the disaster tolerance capability of the power consumption equipment in the intelligent building and the importance of the business; wherein the greater the disaster tolerance capability of the power consumption equipment and the importance of the business, the smaller a is and the greater β is.

[0028] ​​​The application can ensure power supply for the equipment with the largest business impact or the weakest disaster recovery capability according to the power-off priority score, thereby reasonably allocating limited power resources, and this strategy helps to minimize the impact on business operation in the case of power shortage or failure; the score factors a and β can be adjusted according to actual conditions to adapt to the needs of different intelligent buildings or different business scenarios.

[0029] Preferably, the disaster recovery capability of the quantified power-consuming equipment type is scored as a disaster recovery capability score, including:

[0030] S221: determining whether the power-consuming equipment has disaster recovery capability at each level; if yes, the corresponding item of disaster recovery capability is valued as R1, otherwise, the corresponding item of disaster recovery capability is valued as 0; wherein R1>0, and R1 is an integer;

[0031] S222: marking the value of different items of disaster recovery capability as ; wherein j represents the jth value, and j has a value range of [1, 14];

[0032] S223: calculating the disaster recovery capability score of the ith equipment by the formula .

[0033] S224: calculating the total disaster recovery capability score of the kth type of equipment by the formula .

[0034] Preferably, the business impact priority ranking is obtained, including:

[0035] S231: marking the number of relative extreme weather in a set period T1 as JDT; obtaining the total power ZP of all power-consuming equipment in the building and the length CH, width KU and height GA of the building; counting the total number of safety accidents AJX and the number of emergency response and evacuation JIS in the building in T1; wherein the safety accidents include: fire, theft, natural disaster, and man-made damage;

[0036] S232: calculating the business impact priority factor YWY by the formula .

[0037] S233: determining whether the business impact priority factor is greater than 1; if yes, the business impact priority ranking of the power-consuming equipment is: power supply guarantee equipment, network equipment, environmental control equipment, auxiliary electrical facilities; otherwise, the business impact priority ranking of the power-consuming equipment is: power supply guarantee equipment, network equipment, auxiliary electrical facilities, environmental control equipment.

[0038] It should be noted that the relative extreme weather includes: cloud cover ≥75%, temperature higher than 38​​ -10 and the weather with the ambient humidity higher than 85%; when the safety accident occurred in the machine room is fire, the number of emergency response and evacuation is reduced by one.

[0039] The application considers various factors including environment, equipment power, safety accidents, etc. through the calculation of the service impact priority factor, which directly relates to the continuity and stability of the service; by prioritizing the equipment with the greatest impact on the service, the system can minimize the impact on service operation in emergency situations; by considering the impact of relatively extreme weather on the equipment in the machine room, the system can more accurately assess the potential threat of environmental factors to service continuity, which helps to take measures in advance and improve the adaptability of the equipment in the machine room to harsh environments.

[0040] Preferably, the service impact priority score is set according to the service impact priority, comprising:

[0041] The service impact priority of the power-consuming equipment is called, and the type of the power-consuming equipment with the highest priority is marked as SLXi1 and assigned a value of FZ; the type of the power-consuming equipment with the second highest priority is marked as SLXi2 and assigned a value of FZ-100; the type of the power-consuming equipment with the third highest priority is marked as SLXi3 and assigned a value of FZ-200; the type of the power-consuming equipment with the lowest priority is marked as SLXi4 and assigned a value of FZ-300; wherein the value range of FZ is a positive integer;

[0042] The assigned value is used as the service impact priority score YWN.

[0043] The application facilitates subsequent system to quickly process the power-consuming equipment according to the service impact priority score.

[0044] Preferably, the power-off processing of the power-consuming equipment according to the power-off priority score of the power-consuming equipment, comprising:

[0045] S310: The power-off priority score of the power-consuming equipment and the total power threshold of the building are called, and the power-off priority scores of different equipment are arranged in ascending order according to type to obtain an ascending table;

[0046] S320: The total power of all power-consuming equipment in the building is calculated to obtain a load difference value.

[0047] S330: It is judged whether the load difference value is less than or equal to 0; if yes, it is continued to be judged; if no, a selection equipment type instruction is issued, and the equipment types are selected in turn according to the ascending table, and a power-off instruction is issued to the power-consuming equipment that has been turned on but is not in use;

[0048] S340: judging whether the load difference value is greater than 0; yes, issuing a selection device type instruction, selecting the device type in ascending order table in turn, issuing a power-off instruction to the electrical equipment in use until the load difference value is less than 0; no, ending the power-off instruction, and completing the power control of the intelligent building.

[0049] The application calculates the load difference value of the total power of all electrical equipment in the building and the total threshold value of the building use power, so that the system can master the power consumption of the building in real time; when the load difference value exceeds the threshold value, the system can automatically select the electrical equipment with low power-off priority to be powered off, so as to maximize the reduction of energy consumption and improve the energy utilization efficiency while ensuring the operation of the key business; according to the real-time change of the load difference value, the power-off decision is made quickly, and the automatic and intelligent management mode greatly improves the flexibility and response speed of the system, which helps to quickly restore power supply in emergency and ensure the normal operation of the building.

[0050] To achieve the above object, the second aspect of the application provides a power control method of an intelligent building, comprising:

[0051] The corresponding line used by the electrical equipment is obtained, the line aging factor corresponding to the electrical equipment is obtained through the aging condition of the line, and the total threshold value of the building use power is obtained according to the line aging factor;

[0052] The type of the electrical equipment in the intelligent building and the number of the corresponding type of equipment are obtained; and the power-off priority score of the electrical equipment is obtained.

[0053] It is judged whether the total power of all electrical equipment in the building exceeds the total threshold value of the building use power; yes, the electrical equipment is powered off according to the power-off priority score of the electrical equipment; no, the judgment is continued.

[0054] Compared with the prior art, the application has the following beneficial effects:

[0055] 1. The threshold setting module in the application can dynamically adjust the total threshold value of the building use power according to the aging condition of the line, so as to ensure that the energy is efficiently used within a safe range, which helps to reduce energy waste and improve energy use efficiency; by monitoring the total power of all electrical equipment in the building in real time and comparing it with the set total threshold value, the power-off management module can take measures in time when the power is overloaded, so as to avoid power failure and potential safety hazards; through the cooperative work of the threshold setting module, the priority setting module and the power-off management module, the intelligent management of the building power consumption is realized, and this management mode not only improves the management efficiency, but also reduces the cost of manual intervention.

[0056] 2.The power-off priority setting module in the application can obtain the power-off priority score of the power-using equipment, ensure that the key equipment can be powered on preferentially in the case of power shortage, guarantee the basic operation and safety of the building, and dynamically adjust the power-using strategy according to the type and quantity of the power-using equipment and the line aging condition, which helps to realize the optimization of power use and improve the power-using efficiency of the building on the premise of ensuring safety, reduce unnecessary energy waste and carbon emissions, and promote the development of intelligent buildings in a more green and sustainable direction. BRIEF DESCRIPTION OF DRAWINGS

[0057] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0058] Figure 1 The module relationship diagram included in the present application is shown.

[0059] Figure 2 The specific step diagram of the threshold setting module of the present application is shown.

[0060] Figure 3 The specific step diagram of the power-off priority setting of the power-using equipment of the present application is shown.

[0061] Figure 4 The specific step diagram of the power-off management of the power-using equipment of the present application is shown.

[0062] Figure 5 The flowchart of the power-using management of the present application is shown. DETAILED DESCRIPTION

[0063] The technical solutions of the present application will be described in detail below with reference to the embodiments. Obviously, the described embodiments are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0064] Please refer to Figure 1 The first aspect embodiment of the present application provides a power-using management system of an intelligent building, which comprises a threshold setting module, a priority setting module and a power-off management module connected thereto.

[0065] Threshold setting module: Obtain the corresponding line used by the electrical equipment, obtain the aging factor of the line corresponding to the electrical equipment through the aging of the line, and obtain the total power threshold of the building based on the line aging factor;

[0066] Priority setting module: obtains the types of electrical equipment and the quantity of each type in the smart building; obtains the power outage priority score of the electrical equipment;

[0067] Power outage management module: Determines whether the total power of all electrical equipment in the building exceeds the building's total power usage threshold; if yes, it cuts off the power to the equipment according to the power outage priority score; otherwise, it continues to determine the cause.

[0068] Please see Figure 2 The specific steps of the threshold setting module are as follows: obtain the local minimum and maximum temperatures of the corresponding circuit used by the electrical equipment, and determine whether the local minimum temperature is greater than the temperature aging threshold; if yes, mark T as the local maximum temperature of the circuit; if no, mark T as the local minimum temperature of the circuit.

[0069] Obtain the number of start-stop cycles (QTC) and the number of partial discharge cycles (JFC) caused by voltage fluctuations and harmonics on the corresponding circuits of the electrical equipment within a set period T1; obtain the following information using the formula: The line aging factor LH was calculated; the aging conditions of the line include: thermal aging caused by temperature changes, electrical stress aging caused by partial discharge, and mechanical aging caused by start-up and shutdown.

[0070] Obtain the rated power P1 and adjustment coefficient a of the line using the formula. Calculate the power threshold for the corresponding circuit of the electrical equipment. Where a takes values ​​in the range [0, 100]; q represents the q-th line; and q takes values ​​in the range [1, n], where n is a positive integer.

[0071] Through formula The total power consumption threshold PZ of the building was calculated.

[0072] The adjustment coefficient is obtained by determining whether lnLH is less than 1; if yes, then a is the largest integer that satisfies the inequality a < 100 × lnLH; if no, then a is 100.

[0073] For example, there is an intelligent building A, the types of electrical equipment in the intelligent building include: network equipment, power supply guarantee equipment, environmental control equipment, auxiliary electrical facilities; wherein, the network equipment includes: multimedia, computer, switch, router and fiber transceiver and other network communication equipment; the power supply guarantee equipment includes: transformer, high and low voltage power distribution cabinet, circuit breaker, smart meter, power quality monitor and standby power equipment; the environmental control equipment includes: air conditioning and ventilation equipment, temperature and humidity control equipment and air quality management equipment; the auxiliary electrical facilities include: lighting system, elevator and transportation equipment, security and fire fighting equipment and other auxiliary equipment;

[0074] The local minimum temperature of the power supply line used by the existing computer d1 is 28.5 , and the local maximum temperature is 35 . Through the results of multiple tests, the temperature aging threshold is set to 25.5 by the staff; since the local minimum temperature is greater than the temperature aging threshold; then T=35 ; the start-stop number of the corresponding line of the computer in a week is obtained as 18 times, and the number of local discharges caused by voltage fluctuation and harmonic is 2 times;

[0075] The line aging factor LH is calculated to be 2.37 by the formula ;

[0076] The rated power P1 of the line is obtained as 450W, and lnLH=ln2.37=0.83<1, ; when 542×a%<450W, then a takes the maximum integer as 82;

[0077] The use power threshold of the electrical equipment corresponding to the line is calculated to be 444W by the formula ;

[0078] The total threshold of building use power of all electrical equipment lines in the intelligent building is obtained as 158KW by the above steps.

[0079] Please refer to Figure 3 , the specific steps of setting the power-off priority of electrical equipment,

[0080] S210: retrieve the types of electrical equipment in the intelligent building, wherein the types of electrical equipment include: network equipment, power supply guarantee equipment, environmental control equipment, auxiliary electrical facilities;

[0081] S220: mark the disaster tolerance capability score of the i-th electrical equipment as , and mark the disaster tolerance capability score of the k-th type of electrical equipment as ​; wherein, i represents the i-th power equipment, i is a positive integer; k represents the type of power equipment, k = 1, 2, 3, 4; the disaster recovery capability includes: hardware, software, power supply, network communication, operation and maintenance level disaster recovery capability;

[0082] S221: determine whether the power equipment has each level of disaster recovery capability; if yes, assign the corresponding item of disaster recovery capability to R1, otherwise assign the corresponding item of disaster recovery capability to 0; wherein, R1>0, and R1 is an integer;

[0083] S222: mark the assigned number of different items of disaster recovery capability as ; wherein, j represents the j-th assignment, j is in the range of [1, 14];

[0084] S223: calculate the disaster recovery capability score of the i-th equipment by the formula ; ;

[0085] Calculate the total score of the disaster recovery capability of the k-th type of equipment by the formula ; ;

[0086] S231: mark the number of relative extreme weather in the setting period T1 as JDT; obtain the total power ZP of all power equipment in the building and the length CH, width KU and height GA of the building; count the total number of safety accidents AJX and the number of emergency response and evacuation JIS in the building in T1; wherein, the safety accidents include: fire, theft, natural disaster, man-made damage;

[0087] S232: calculate the business impact priority factor YWY by the formula ;

[0088] S233: determine whether the business impact priority factor is greater than 1; if yes, the business impact priority of the power equipment is ranked as: power supply guarantee equipment, network equipment, environmental control equipment, auxiliary electrical facilities; otherwise, the business impact priority of the power equipment is ranked as: power supply guarantee equipment, network equipment, auxiliary electrical facilities, environmental control equipment; mark the business impact priority score as YWN;

[0089] Retrieve the business impact priority ranking of the power equipment, mark the type of power equipment with the highest priority as SLXi1 and assign it a value of FZ; mark the type of power equipment with the second highest priority as SLXi2 and assign it a value of FZ-100; mark the type of power equipment with the third highest priority as SLXi3 and assign it a value of FZ-200; mark the type of power equipment with the lowest priority as SLXi4 and assign it a value of FZ-300; wherein, FZ is a positive integer;

[0090] The assigned number is taken as the business impact priority score YWN;

[0091] The power-off priority score of the kth type of power-using equipment is calculated by the formula ; wherein a is the first score factor, b is the second score factor; 0 < a < 1, 0 < b < 1, and a + b = 1.

[0092] For example, the type of power-using equipment in the intelligent building A is called, and the disaster recovery capability score of the ith power-using equipment is marked as The disaster recovery capability includes: hardware, software, power supply, network communication, operation and maintenance level disaster recovery capability; the hardware level disaster recovery capability includes: power supply redundancy design, built-in battery backup, support for hot plug design, temperature tolerance; the software level disaster recovery capability includes: data protection mechanism, high availability architecture, power management function; the power supply level disaster recovery capability includes: UPS support, generator linkage, PDU intelligent management; the network communication level disaster recovery capability includes: multi-link redundancy, network device redundancy; the operation and maintenance level disaster recovery capability includes: monitoring and alarm, emergency plan; the assignment of different items of disaster recovery capability is 1;

[0093] The computer d1 has the above 14 items of disaster recovery capability, and the disaster recovery capability score of the computer d1 is calculated by the formula ;

[0094] The total score of the disaster recovery capability of the kth type of equipment is calculated by the formula ; wherein the total score of the disaster recovery capability of the network equipment type is 3056, the total score of the disaster recovery capability of the power supply guarantee equipment type is 5321, the total score of the disaster recovery capability of the environmental control equipment type is 564, and the total score of the disaster recovery capability of the auxiliary electrical facility type is 712;

[0095] The number of relative extreme weather in a week is 1; the total power of all power-using equipment in the building is 168 KW, and the length, width and height of the building are 150 m, 80 m and 30 m respectively; the total number of safety accidents in the building in T1 is 0, and the number of emergency response and evacuation is 0; wherein the safety accidents include: fire, theft, natural disaster, man-made damage;

[0096] The business impact priority factor calculated by the formula is 1.16, and since 1.16 > 1; the business impact priority of the power-using equipment is ranked as: power supply guarantee equipment, network equipment, environmental control equipment, auxiliary electrical facility;

[0097] ​​​The power supply device that is placed at the top of the priority ranking is marked as SLXi1 and assigned a value of 800;

[0098] The network device with the second highest priority is marked as SLXi2 and assigned a value of 700;

[0099] The environmental control device, which is placed in the third priority position, is marked as SLXi3 and assigned a value of 600.

[0100] The auxiliary electrical facility placed at the bottom of the priority list is marked as SLXi4 and assigned a value of 500;

[0101] The assigned value will be used as the priority score for business impact (YWN).

[0102] The scoring factors were set by professionals in this field based on their emphasis on disaster recovery capabilities and business operations in smart buildings, with α set to 0.36 and β set to 0.64 respectively.

[0103] Through formula The power outage priority score of the k-th type of electrical equipment is calculated. Among them, the power outage priority score for power supply protection equipment is 3056×0.36+800×0.64=1612.16; the power outage priority score for network equipment is 5321×0.36+700×0.64=2363.56; the power outage priority score for environmental control equipment is 564×0.36+600×0.64=587.04; and the power outage priority score for auxiliary electrical facilities is 712×0.36+500×0.64=576.32.

[0104] Please see Figure 4 The specific steps for managing power outages of electrical equipment.

[0105] S310: Retrieve the power outage priority score of electrical equipment and the total power consumption threshold of the building, sort the power outage priority scores of different equipment in ascending order by type, and obtain an ascending order table;

[0106] S320: Calculate the load difference by comparing the total power of all electrical equipment in the building with the total power threshold of the building.

[0107] S330: Determine if the load difference is less than or equal to 0; if yes, continue to determine; if no, issue a device type selection instruction, select device types in ascending order, and issue power-off instructions for all electrical equipment that is turned on but not in use.

[0108] S340: Determine if the load difference is greater than 0; if yes, issue a device type selection instruction, select device types in ascending order, and issue power-off instructions to the electrical equipment in use until the load difference is less than 0; if no, end the power-off instruction and complete the power control of the intelligent building.

[0109] For example, the power-off priority score of the electrical equipment is called, and the power-off priority score of different equipment is arranged in ascending order according to the type to obtain an ascending table (Table 1).

[0110] Table 1: Ascending table

[0111]

[0112] For example, the total power of all electrical equipment in the building is 168KW, and the difference between the total power of all electrical equipment in the building and the total threshold of building power is obtained, that is, 168KW-158KW=10KW; since 10>0, a device type selection instruction is issued, and the device type is selected in ascending order according to the ascending table, and a power-off instruction is issued to all electrical equipment in the electrical equipment type that has been turned on but is not in use, and a total of 3.2KW is reduced.

[0113] 10KW-3.2KW=6.8KW>0, a device type selection instruction is issued, and the auxiliary electrical equipment is selected in ascending order according to the ascending table, and a power-off instruction is issued to the electrical equipment in use, and a total of 3.5KW is reduced.

[0114] 6.8KW-3.5KW=3.1KW>0, a device type selection instruction is issued, and the environmental control equipment is selected in ascending order according to the ascending table, and a power-off instruction is issued to the electrical equipment in use, and a total of 4.5KW is reduced.

[0115] 3.1KW-4.5KW<0, the power-off instruction is ended, and the power control of the intelligent building is completed.

[0116] It should be noted that when the power-off priority scores are the same, the business impact priority is sorted.

[0117] Please refer to Figure 5 , the second aspect of the present application provides a power control method of an intelligent building, comprising:

[0118] Obtaining the corresponding line used by the electrical equipment, obtaining the line aging factor of the electrical equipment through the aging condition of the line, and obtaining the total threshold of building power according to the line aging factor;

[0119] Obtaining the type of electrical equipment in the intelligent building and the number of corresponding type of equipment; obtaining the power-off priority score of the electrical equipment;

[0120] Judging whether the total power of all electrical equipment in the building exceeds the total threshold of building power; if yes, the electrical equipment is handled according to the power-off priority score of the electrical equipment; if no, the judgment is continued.

[0121] Part of the data in the above formula is calculated by removing the dimension value, the formula is obtained by software simulation of a large number of collected data closest to the real situation; The preset parameters and the preset threshold in the formula are set by the person skilled in the art according to the actual situation or obtained by a large number of data simulation.

[0122] The working principle of the present application: the present application obtains the corresponding line used by the electrical equipment, obtains the line aging factor corresponding to the electrical equipment through the aging condition of the line, obtains the total threshold of building power use according to the line aging factor; Obtain the type of electrical equipment in the intelligent building and the number of corresponding type equipment; Obtain the power-off priority score of the electrical equipment; Judge whether the total power of all electrical equipment in the building exceeds the total threshold of building power use; Yes, according to the power-off priority score of the electrical equipment, the electrical equipment is powered off; No, then continue to judge.

[0123] The above examples are only used to illustrate the technical method of the present application and not to limit it. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical method of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical method of the present application.

Claims

1. A power consumption management system for a smart building, characterized in that, The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. S120: Obtain the start-stop number QTC of the line corresponding to the electrical equipment within the set period T1, the number of line partial discharges JFC caused by voltage fluctuation and harmonics; through the formula The line aging factor is calculated; wherein, the aging condition of the line includes: the thermal aging of the line caused by temperature change, the electrical stress aging of the line caused by line partial discharge, and the mechanical aging condition of the line caused by line start-stop. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. S220: Quantify the disaster recovery capability of the power consumption equipment type to obtain a disaster recovery capability score, and mark the disaster recovery capability score of the i-th power consumption equipment as , and mark the disaster recovery capability score of the k-th type of power consumption equipment as ; wherein i represents the i-th power consumption equipment, and the value range of i is a positive integer; k represents the type of power consumption equipment, k = 1, 2, 3, 4; the disaster recovery capability includes the disaster recovery capability of hardware, software, power supply, network communication, and operation and maintenance management. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The power-off priority score of the kth type of electrical equipment is calculated by the formula ; wherein, a is the first score factor, β is the second score factor; 0 < a < 1, 0 < β < 1, and a + β = 1. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof.

2. The power management system of claim 1, wherein, The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof.

3. The power management system of claim 1, wherein, The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The rated power P1 of the line and the adjustment coefficient a are obtained, and the use power threshold of the power-using device corresponding to the line is calculated by the formula The use power threshold of the power-using device corresponding to the line is calculated by the formula The value range of a is [0, 100]; q represents the qth line; the value range of q is [1, n], and n is a positive integer. The total threshold of building use power is calculated by formula ​ The application relates to a power-off management method for an intelligent building, and a power-off management system thereof.

4. The power management system of claim 1, wherein, The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. S222: Mark the assignment numbers of different item disaster tolerance capabilities as ; wherein, j represents the jth assignment, and the value range of j is [1, 14]; S223: calculate the disaster tolerance capability score of the ith device by the formula S223: calculate the disaster tolerance capability score of the ith device by the formula The total score of the disaster recovery capability of the kth type of device is calculated by the formula ​ 5. The power management system of claim 1, wherein, The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application relates to a power-off management method for an intelligent building, and a power-off management system thereof. The application S232: Calculate the service impact priority factor by the formula S232: Calculate the service impact priority factor by the formula S233: judging whether the service impact priority factor is greater than 1; if yes, the service impact priority of the power-using equipment is ranked as: power supply guarantee equipment, network equipment, environmental control equipment, auxiliary electrical facilities; if no, the service impact priority of the power-using equipment is ranked as: power supply guarantee equipment, network equipment, auxiliary electrical facilities, environmental control equipment.

6. The power management system of claim 1, wherein, The service impact priority score is set according to the service impact priority, comprising: The service impact priority of the power-using equipment is called, the power-using equipment type ranked first in the priority is marked as SLXi1 and valued as FZ; the power-using equipment type ranked second in the priority is marked as SLXi2 and valued as FZ-100; the power-using equipment type ranked third in the priority is marked as SLXi3 and valued as FZ-200; the power-using equipment type ranked last in the priority is marked as SLXi4 and valued as FZ-300; wherein, the value range of FZ is positive integer; The valued number is taken as the service impact priority score YWN.

7. The power management system of claim 1, wherein, The power-using equipment is powered off according to the power-off priority score of the power-using equipment, comprising: S310: the power-off priority score of the power-using equipment and the total power threshold of the building are called, the power-off priority scores of different equipment are arranged in ascending order according to type to obtain an ascending table; S320: the difference between the total power of all power-using equipment in the building and the total power threshold of the building is calculated to obtain a load difference value; S330: judging whether the load difference value is less than or equal to 0; if yes, continue to judge; if no, a device type selection instruction is issued, and the device type is selected in turn according to the ascending table, and a power-off instruction is issued to the power-using equipment which is turned on but not in use; S340: judging whether the load difference value is greater than 0; if yes, a device type selection instruction is issued, and the device type is selected in turn according to the ascending table, and a power-off instruction is issued to the power-using equipment in use until the load difference value is less than 0; if no, the power-off instruction is ended, and the power control of the intelligent building is completed.

8. A power management method for a smart building, applied to the power management system for a smart building according to any one of claims 1-7, characterized in that, comprising: The corresponding line used by the power-using equipment is obtained, the line aging factor corresponding to the power-using equipment is obtained through the aging condition of the line, and the total power threshold of the building is obtained according to the line aging factor; The type of the power-using equipment in the intelligent building and the number of corresponding types of equipment are obtained; the power-off priority score of the power-using equipment is obtained; Judging whether the total power of all power-using equipment in the building exceeds the total power threshold of the building; if yes, the power-using equipment is powered off according to the power-off priority score of the power-using equipment; if no, continue to judge.

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