Energy consumption management method and device and computer readable storage medium

Abstract

The invention provides an energy consumption management method and device and a computer readable storage medium, and the method comprises the steps: obtaining energy consumption data collected by a multi-stage electric meter, and carrying out the hierarchical division of the multi-stage electric meter according to the total energy consumption to the energy consumption of each load electric device; judging whether the energy consumption data is abnormal or not according to a pre-established multi-dimensional energy consumption transaction analysis rule; and in response to the abnormality of the energy consumption data of any one level of electricity meter in the multi-level electricity meters, related managers are reminded. The method, the device and the computer readable storage medium can solve the problems that an existing energy consumption management method can only collect the energy consumption data of the first-level general table and cannot deeply know the detailed energy consumption condition of each load electric device, so that energy consumption allocation is not clear, and a chartered person cannot perceive abnormity at the first time.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to an energy consumption management method, device and computer-readable storage medium. Background Art

[0002] At present, as the scale of enterprise networks continues to increase, energy consumption levels are on the rise. In order to meet this challenge, implementing effective energy management strategies can not only save energy and reduce carbon emissions, but also identify problems such as high energy consumption of equipment, low business value, and energy waste, which is an important measure to improve enterprise energy efficiency.

[0003] However, the existing energy consumption management methods can only collect energy consumption data from the first-level total meter, and cannot go deep into the detailed energy consumption of each load electrical equipment, resulting in unclear energy consumption allocation and the inability of charterers to perceive abnormalities in the first time. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide an energy consumption management method, device and computer-readable storage medium in response to the above-mentioned shortcomings of the prior art, so as to solve the problem that the existing energy consumption management method can only collect the energy consumption data of the first-level total meter, but cannot go deep into the detailed energy consumption of each load electrical equipment, resulting in unclear energy consumption allocation and the inability of charterers to perceive abnormalities in the first time.

[0005] In a first aspect, the present invention provides an energy consumption management method, comprising:

[0006] Acquire energy consumption data collected by multi-level electric meters, wherein the multi-level electric meters are hierarchically divided according to the energy consumption from total energy consumption to each load electrical device;

[0007] Determine whether the energy consumption data is abnormal according to the pre-established multi-dimensional energy consumption change analysis rules;

[0008] In response to abnormality in energy consumption data of any level of the multi-level electricity meters, a reminder is given to relevant management personnel.

[0009] Furthermore, the multi-level electricity meters include: first-level electricity meters, second-level electricity meters, third-level electricity meters, fourth-level electricity meters and fifth-level electricity meters, wherein the first-level electricity meters, second-level electricity meters and fourth-level electricity meters are physical meters, the first-level electricity meters are deployed at the main power incoming line, the second-level electricity meters are deployed in the low-voltage distribution cabinet, the fourth-level electricity meters are deployed in the power room and the computer room, the third-level electricity meters and fifth-level electricity meters are logical tables, the energy consumption data of the third-level electricity meters include the total energy consumption of equipment in each computer room and the total energy consumption of air conditioners, and the energy consumption data of the fifth-level electricity meters include the energy consumption of each load electrical equipment in the total energy consumption of equipment in each computer room.

[0010] Further, judging whether the energy consumption data is abnormal according to the pre-established multi-dimensional energy consumption change analysis rules specifically includes:

[0011] For the energy consumption of each load electrical device in the energy consumption data of the five-level electric meter, if the benchmark difference rate corresponding to the energy consumption of the load electrical device is greater than the preset first threshold or the month-on-month difference rate corresponding to the energy consumption of the load electrical device is greater than the preset second threshold, then the energy consumption of the load electrical device is abnormal;

[0012] According to the total energy consumption of the equipment and the total energy consumption of the air conditioner in each computer room in the energy consumption data of the three-level electric meter, the total energy consumption and the power utilization efficiency PUE of each computer room are obtained;

[0013] For the total energy consumption of each computer room, if the benchmark difference rate corresponding to the total energy consumption of the computer room is greater than the preset third threshold or the month-on-month difference rate corresponding to the total energy consumption of the computer room is greater than the preset fourth threshold, then the total energy consumption of the computer room is abnormal;

[0014] For the PUE of each computer room, if the benchmark difference rate corresponding to the PUE of the computer room is greater than a preset fifth threshold, then the PUE of the computer room is abnormal;

[0015] For each level of the electric meter in the multi-level electric meter, if the number of missing energy consumption in the energy consumption data collected by the electric meter at that level is greater than a preset sixth threshold, then the electric meter at that level is abnormal.

[0016] Furthermore, the reminders to the relevant managers specifically include:

[0017] Produce an abnormal energy consumption alarm for the abnormal energy consumption data and generate an abnormal energy consumption work order;

[0018] The abnormal energy consumption work order is distributed to relevant management personnel so that the relevant management personnel can handle the abnormal energy consumption work order.

[0019] Furthermore, the method further comprises:

[0020] For the PUE of each computer room, if the PUE of the computer room is greater than a preset seventh threshold, each air conditioner in the computer room is checked.

[0021] Furthermore, the method further comprises:

[0022] According to the preset mains meter reading and the total reading corresponding to the energy consumption data collected by the first-level meter, the second-level meter and the third-level meter, it is determined whether the mains meter, the first-level meter, the second-level meter and the third-level meter meet the preset verification conditions;

[0023] In response to at least one of the mains meter, the primary meter, the secondary meter and the tertiary meter meeting a preset verification condition, the meter meeting the preset verification condition is verified.

[0024] Further, judging whether the mains meter, the first-level meter, the second-level meter and the third-level meter meet the preset verification conditions according to the preset mains meter reading and the total reading corresponding to the energy consumption data collected by the first-level meter, the second-level meter and the third-level meter specifically includes:

[0025] If the error between the reading of the mains meter and the total reading corresponding to the primary meter is greater than a preset eighth threshold, it is determined that the mains meter and the primary meter meet the preset verification condition;

[0026] If the error between the total reading corresponding to the primary electric meter and the total reading corresponding to the secondary electric meter is greater than a preset ninth threshold, it is determined that the primary electric meter and the secondary electric meter meet the preset verification condition;

[0027] If the error between the total readings of the secondary meter corresponding to the third-level meter and the total readings corresponding to the third-level meter is greater than a preset tenth threshold, it is determined that the secondary meter and the third-level meter meet the preset verification condition;

[0028] If the error between the AC power meter reading and the total readings corresponding to the first-level meter, the second-level meter and the third-level meter is greater than the preset eleventh threshold, it is judged that the AC power meter, the first-level meter, the second-level meter and the third-level meter meet the preset verification conditions.

[0029] Furthermore, the method further comprises:

[0030] According to the energy consumption data of the multi-level electricity meters, load electrical equipment with high energy consumption and low business value is located, and based on the load electrical equipment with high energy consumption and low business value and the preset intelligent control technology, energy-saving strategies are formulated using mobile network user behavior analysis and expert experience.

[0031] In a second aspect, the present invention provides an energy consumption management device, comprising:

[0032] An acquisition module is used to acquire energy consumption data collected by multi-level electric meters, wherein the multi-level electric meters are hierarchically divided according to the energy consumption from total energy consumption to the energy consumption of each load electrical equipment;

[0033] A first judgment module, connected to the acquisition module, is used to judge whether the energy consumption data is abnormal according to a pre-established multi-dimensional energy consumption change analysis rule;

[0034] The reminder module is connected to the first judgment module and is used to remind relevant management personnel in response to abnormal energy consumption data of any level of electricity meter in the multi-level electricity meter.

[0035] In a third aspect, the present invention provides an energy consumption management device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to implement the energy consumption management method described in the first aspect.

[0036] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the energy consumption management method described in the first aspect is implemented.

[0037] The energy consumption management method, device and computer-readable storage medium provided by the present invention first obtain energy consumption data collected by multi-level electricity meters, wherein the multi-level electricity meters are hierarchically divided according to the energy consumption from total energy consumption to each load electrical equipment; then, according to pre-established multi-dimensional energy consumption change analysis rules, it is determined whether the energy consumption data is abnormal; finally, in response to abnormal energy consumption data of any level of electricity meter in the multi-level electricity meters, relevant management personnel are reminded. The present invention collects energy consumption data from multiple levels of electricity meters and divides them into levels, thus breaking through the limitation of only being able to obtain energy consumption data from the first-level total meter, realizing detailed monitoring of each load electrical equipment, so that energy consumption data can be accurately allocated to specific equipment, thereby improving the enthusiasm of employees to actively reduce energy consumption. At the same time, with the help of multi-dimensional energy consumption change analysis rules, anomalies are monitored in real time and relevant management personnel are reminded in time, so that management personnel can identify and respond to potential energy consumption risks in the first time, thereby realizing more efficient energy consumption management, and solving the problem that the existing energy consumption management method can only collect energy consumption data from the first-level total meter, and cannot go deep into the detailed energy consumption of each load electrical equipment, resulting in unclear energy consumption allocation and the problem that the charterer cannot perceive the anomaly in the first time. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a flow chart of an energy consumption management method according to Embodiment 1 of the present invention;

[0039] Figure 2 A flowchart of another energy consumption management method according to an embodiment of the present invention;

[0040] Figure 3 A system topology diagram of a multi-level electric meter according to an embodiment of the present invention;

[0041] Figure 4 A flowchart of abnormal energy consumption processing according to an embodiment of the present invention;

[0042] Figure 5 A flowchart of executing an energy-saving instruction according to an embodiment of the present invention;

[0043] Figure 6This is a schematic diagram of the structure of an energy consumption management device according to Embodiment 2 of the present invention;

[0044] Figure 7 This is a schematic diagram of the structure of an energy consumption management device according to Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0045] In order to enable those skilled in the art to better understand the technical solution of the present invention, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0046] It should be understood that the specific embodiments and drawings described herein are only used to explain the present invention rather than to limit the present invention.

[0047] It can be understood that, in the absence of conflict, the various embodiments of the present invention and the various features in the embodiments can be combined with each other.

[0048] It can be understood that, for the convenience of description, the drawings of the present invention only show the parts related to the present invention, while the parts irrelevant to the present invention are not shown in the drawings.

[0049] It can be understood that each unit and module involved in the embodiments of the present invention may correspond to only one physical structure, or may be composed of multiple physical structures, or multiple units and modules may be integrated into one physical structure.

[0050] It can be understood that, in the absence of conflict, the functions and steps marked in the flowcharts and block diagrams of the present invention may occur in an order different from that marked in the drawings.

[0051] It is understood that the flowcharts and block diagrams of the present invention illustrate the possible architectures, functions, and operations of the systems, devices, equipment, and methods according to the various embodiments of the present invention. Each box in the flowchart or block diagram may represent a unit, module, program segment, or code, which contains executable instructions for implementing the specified functions. Moreover, each box or combination of boxes in the block diagram and flowchart may be implemented by a hardware-based system that implements the specified functions, or may be implemented by a combination of hardware and computer instructions.

[0052] It can be understood that the units and modules involved in the embodiments of the present invention can be implemented by software or hardware. For example, the units and modules can be located in a processor.

[0053] Application Overview

[0054] From the comparison of energy consumption management platforms at home and abroad, there are certain differences in the technical implementation methods, functional modules and data storage of various platforms, especially in data collection and processing efficiency. The existing research and practice on energy consumption have certain limitations. The specific problems are as follows:

[0055] 1. Dispersed energy consumption: Electricity meters, cloud warehouses, equipment in the terminal room, as well as electricity charges of base stations and module offices, and energy consumption of towers need to be collected in a unified manner;

[0056] 2. Unclear allocation: The existing energy consumption is only collected at the first-level total meter, and it is impossible to further measure the specific meter data. The electricity fee cannot be allocated to the equipment, and the employees are not very motivated to actively reduce energy consumption;

[0057] 3. Untimely identification of energy consumption risks: abnormal energy consumption, data collection, and equipment abnormalities cannot be monitored in a timely manner, and charterers (i.e., relevant managers) cannot perceive abnormalities in the first place;

[0058] 4. Lack of management and control measures: There is a need to develop a system to issue and monitor the implementation of pre-compiled energy-saving plans through safe and controllable channels.

[0059] In response to the above technical problems, the present application provides an energy consumption management method, device and computer-readable storage medium. By collecting energy consumption data from multi-level electricity meters and dividing them into levels, it breaks through the limitation of only being able to obtain energy consumption data from the first-level total meter, and realizes detailed monitoring of each load electrical equipment, so that energy consumption data can be accurately allocated to specific equipment, thereby improving the enthusiasm of employees to actively reduce energy consumption. At the same time, with the help of multi-dimensional energy consumption change analysis rules, anomalies are monitored in real time and relevant management personnel are reminded in time, so that management personnel can identify and respond to potential energy consumption risks in the first time, thereby achieving more efficient energy consumption management, so as to at least solve the problem that the existing energy consumption management method can only collect energy consumption data from the first-level total meter, and cannot go deep into the detailed energy consumption of each load electrical equipment, resulting in unclear energy consumption allocation and the charterer cannot perceive the anomaly in the first time.

[0060] After introducing the basic principles of the present application, various non-limiting embodiments of the present application will be described in detail with reference to the accompanying drawings.

[0061] Embodiment 1:

[0062] This embodiment provides an energy consumption management method, such as Figure 1 As shown, the method includes:

[0063] Step S101: Acquire energy consumption data collected by multi-level electricity meters, wherein the multi-level electricity meters are hierarchically divided according to the energy consumption from total energy consumption to each load electrical device.

[0064] It should be noted that the multi-level meters can be divided as needed. For example, the multi-level meters may include: primary meters, secondary meters, tertiary meters, quaternary meters and quintuple meters, wherein the primary meters, secondary meters and quaternary meters are physical meters. The primary meters are deployed at the main city power incoming line to monitor the total power entering the bureau, to audit the difference between the power supply company and the total power, and to check whether there is power theft, leakage, or leakage. The secondary meters are deployed in low-voltage distribution cabinets to distinguish between production power, office power, business power and third-party power. The quaternary meters are deployed in power rooms and computer rooms to monitor the DC distribution panels in the power rooms of the main cabinets and UPS (Uninterruptible Power Supply). The energy consumption of each branch of the power distribution panel (PowerSupply, uninterruptible power supply) and the air-conditioning distribution cabinet is measured. The three-level meter and the five-level meter are logical tables. The energy consumption data of the three-level meter include the total energy consumption of the equipment in each computer room and the total energy consumption of the air conditioner collected by the four-level meter. The energy consumption data of the five-level meter include the energy consumption of each load electrical equipment in the total energy consumption of the equipment in each computer room collected by the four-level meter.

[0065] Step S102: determining whether the energy consumption data is abnormal according to pre-established multi-dimensional energy consumption change analysis rules.

[0066] In this embodiment, a pre-established multi-dimensional energy consumption change analysis rule is used to determine whether the energy consumption data is abnormal.

[0067] In an optional embodiment, judging whether the energy consumption data is abnormal according to a pre-established multi-dimensional energy consumption change analysis rule specifically includes:

[0068] For the energy consumption of each load electrical device in the energy consumption data of the five-level electric meter, if the benchmark difference rate corresponding to the energy consumption of the load electrical device is greater than the preset first threshold or the month-on-month difference rate corresponding to the energy consumption of the load electrical device is greater than the preset second threshold, then the energy consumption of the load electrical device is abnormal;

[0069] According to the total energy consumption of the equipment and the total energy consumption of the air conditioner in each computer room in the energy consumption data of the three-level electric meter, the total energy consumption and PUE (Power Usage Effectiveness) of each computer room are obtained;

[0070] For the total energy consumption of each computer room, if the benchmark difference rate corresponding to the total energy consumption of the computer room is greater than the preset third threshold or the month-on-month difference rate corresponding to the total energy consumption of the computer room is greater than the preset fourth threshold, then the total energy consumption of the computer room is abnormal;

[0071] For the PUE of each computer room, if the benchmark difference rate corresponding to the PUE of the computer room is greater than a preset fifth threshold, then the PUE of the computer room is abnormal;

[0072] For each level of the electric meter in the multi-level electric meter, if the number of missing energy consumption in the energy consumption data collected by the electric meter at that level is greater than a preset sixth threshold, then the electric meter at that level is abnormal.

[0073] Specifically, for the energy consumption of each load electrical equipment in the energy consumption data of the five-level electricity meter, it is assumed that the energy consumption of the benchmark equipment is A, the energy consumption of the same type of equipment (that is, the energy consumption of the load electrical equipment of the same type as the benchmark equipment energy consumption) is B, the benchmark difference rate between the same type of equipment and the benchmark equipment is Δ1, Δ1=|AB| / A, the month-on-month difference rate of energy consumption of the same equipment is Δ2, if Δ1≤70% (first threshold), the benchmark difference rate indicator of the equipment is normal, otherwise it is considered that the energy consumption of the equipment is abnormal, if Δ2≤15% (second threshold), the month-on-month difference rate indicator of the equipment is normal, otherwise it is considered that the energy consumption of the equipment is abnormal, wherein the month-on-month difference rate of equipment energy consumption=|equipment energy consumption in this cycle - equipment energy consumption in the previous cycle| / equipment energy consumption in the previous cycle.

[0074] Specifically, the total energy consumption of the equipment and the total energy consumption of the air conditioner in each computer room in the energy consumption data of the three-level electric meter are summed to obtain the total energy consumption of each computer room, and the PUE of each computer room is obtained according to PUE = total energy consumption of the equipment in the computer room + total energy consumption of the air conditioner in the computer room / total energy consumption of the equipment in the computer room. For the total energy consumption of each computer room, it is assumed that the total energy consumption of the benchmark computer room is D, the total energy consumption of the same type of computer room (that is, the total energy consumption of the same type of computer room as the total energy consumption of the benchmark computer room) is E, and the benchmark difference rate between the same type of computer room and the benchmark computer room is Δ3 , Δ3=|DE| / D, if Δ3≤20% (the third threshold), the benchmark difference rate indicator of the computer room is normal, otherwise it is considered that the total energy consumption of the computer room is abnormal, and the month-on-month difference rate of total energy consumption of the same computer room is Δ4. If Δ4≤10% (the fourth threshold), the month-on-month difference rate indicator of the computer room is normal, otherwise it is considered that the total energy consumption of the computer room is abnormal, where the month-on-month difference rate of total energy consumption of the computer room=|total energy consumption of the computer room in this cycle - total energy consumption of the computer room in the previous cycle| / total energy consumption of the computer room in the previous cycle.

[0075] Specifically, for the PUE of each computer room, it is assumed that the PUE of the benchmark computer room is G, and the PUE of the same type of computer room is K. The PUE difference rate between the same type of computer room and the benchmark computer room is Δ5, Δ5=|GK| / G. If Δ5≤20% (the fifth threshold), the PUE difference rate indicator of the computer room is normal, otherwise it is considered that the PUE of the computer room is abnormal. For each level of the multi-level electric meter, it is assumed that the number of missing energy consumption in the energy consumption data collected by the electric meter of this level is F. If F≤5 (the sixth threshold), the collection indicators of the electric meter of this level are normal, otherwise it is considered that the electric meter of this level is abnormal.

[0076] Step S103: in response to abnormality in energy consumption data of any level of the multi-level electricity meters, a relevant manager is reminded.

[0077] Specifically, if there is an abnormality in the energy consumption data of any level of the multi-level electricity meter, an energy consumption abnormality alarm will be issued for the abnormal energy consumption data, and an energy consumption abnormality work order will be generated, and the energy consumption abnormality work order will be distributed to relevant management personnel so that the relevant management personnel can handle the energy consumption abnormality work order.

[0078] In an optional embodiment, the method further includes:

[0079] For the PUE of each computer room, if the PUE of the computer room is greater than a preset seventh threshold, each air conditioner in the computer room is checked.

[0080] Specifically, for each computer room's PUE, if the PUE of the computer room is greater than 1.5 (the seventh threshold), the energy consumption of the computer room is abnormal, and the air conditioner and other equipment need to be checked. If the PUE of the computer room is less than or equal to 1.5, the computer room is judged to be low-carbon and environmentally friendly, and is in line with the green development strategy.

[0081] In an optional embodiment, the method further includes:

[0082] According to the preset mains meter reading and the total reading corresponding to the energy consumption data collected by the first-level meter, the second-level meter and the third-level meter, it is determined whether the mains meter, the first-level meter, the second-level meter and the third-level meter meet the preset verification conditions;

[0083] In response to at least one of the mains meter, the primary meter, the secondary meter and the tertiary meter meeting a preset verification condition, the meter meeting the preset verification condition is verified.

[0084] Specifically, if the error between the AC power meter reading and the total reading corresponding to the first-level meter is greater than the preset eighth threshold value, it is judged that the AC power meter and the first-level meter meet the preset verification conditions; if the error between the total reading corresponding to the first-level meter and the total reading corresponding to the second-level meter is greater than the preset ninth threshold value, it is judged that the first-level meter and the second-level meter meet the preset verification conditions; if the error between the total reading related to the third-level meter corresponding to the second-level meter and the total reading corresponding to the third-level meter is greater than the preset tenth threshold value, it is judged that the second-level meter and the third-level meter meet the preset verification conditions; if the error between the AC power meter reading and the total reading corresponding to the first-level meter, the second-level meter and the third-level meter is greater than the preset eleventh threshold value, it is judged that the AC power meter, the first-level meter, the second-level meter and the third-level meter meet the preset verification conditions. Assume that the reading of the mains meter is X, where the mains meter is provided by the power supply company, the total reading of the first-level meter is Y1, the total reading of the second-level meter corresponding to the third-level meter is Y2, and the total reading of the third-level meter is Y3; the error between the mains meter reading and the total reading of the first-level meter is Z1, the error between the total readings of the first-level and second-level meters is Z2, the error between the total reading of the second-level meter corresponding to the third-level meter and the total reading of the third-level meter is Z3, and the error between the mains meter reading and the total readings of the first-level, second-level, and third-level meters is Z4. Summarize and analyze the readings of meters at all levels, requiring Z1 = |X-Y 1| / X≤3% (the eighth threshold), Z2=|Y1-Y2| / Y1≤5% (the ninth threshold), Z3=|Y2-Y3| / Y2≤10% (the tenth threshold), Z4=|X-Y1-Y2-Y3| / X≤5% (the eleventh threshold). If Z4 is greater than 5%, it is considered that the corresponding meter meets the preset verification conditions, and the AC meter, first-level, second-level and third-level meters should be checked in turn. Similarly, if Z1 is greater than 3%, Z2 is greater than 5% and Z3 is greater than 10%, it is considered that the corresponding meter meets the preset verification conditions and the corresponding meters need to be checked in turn.

[0085] In an optional embodiment, the method further includes:

[0086] According to the energy consumption data of the multi-level electricity meters, load electrical equipment with high energy consumption and low business value is located, and based on the load electrical equipment with high energy consumption and low business value and the preset intelligent control technology, energy-saving strategies are formulated using mobile network user behavior analysis and expert experience.

[0087] Specifically, based on the energy consumption data collected by multi-level meters, as well as the number of users, business volume, service quality and other data, we build portraits, set benchmarks, and extract features to locate devices with high energy consumption and low business value. For these devices, we use intelligent control technology, mobile network user behavior analysis and expert experience to formulate energy-saving strategies. Among them, energy-saving types include air switch, channel shutdown, cell shutdown, and symbol shutdown, and periodic / non-periodic energy-saving strategies can be formulated.

[0088] In a specific embodiment, an energy consumption management method is provided. The method first constructs a multi-level intelligent inspection system for electric meters, manages the traffic volume, flow rate and other business volumes of base station equipment in the province, and combines resource data, business data, energy consumption and other data to establish a multi-dimensional portrait of the equipment, site, and computer room, so as to achieve multi-dimensional, comprehensive and refined monitoring of the energy consumption of all equipment, and accurate measurement of the energy consumption of the province by item, zone, grid and person. Then, an energy consumption health evaluation mechanism is built, and a multi-dimensional energy consumption change analysis model (that is, a multi-dimensional energy consumption change analysis rule) such as equipment benchmark difference rate change is established for single equipment and computer room, so as to identify problems such as high energy consumption, low business value and energy waste. Finally, abnormal energy consumption is automatically audited, demarcated and located, and the order is driven to the person; in addition, the electricity consumption and energy consumption cost before and after the rectification are analyzed, and the rectification effect is evaluated to achieve clear, quantifiable and assessable responsibility for energy consumption cost. Energy consumption data is matched to equipment, energy consumption cost budget is assigned to people, and energy consumption control responsibility is assigned to people. For example Figure 2 As shown, the energy consumption management method specifically includes the following steps:

[0089] 1. Establish an energy consumption collection mechanism

[0090] Specifically, based on the Internet of Things, big data stream processing, TICK and other related technology stacks, a unified energy consumption collection mechanism is established. Based on the DCN network and smart metropolitan area network, the Internet of Things gateway is used to connect various energy-consuming devices, such as smart meters, smart devices (high-voltage comprehensive protection, smart circuit breakers, switching power supplies, UPS, line cabinets, smart busbars, etc.), and cloud warehouses to achieve data collection and monitoring.

[0091] 2. Establish a multi-level meter intelligent inspection system

[0092] Specifically, around the basic business flow of the project, meter reading plans for old meters and smart meters are established, audit capabilities for meter readings and meter reading frequency are established, a multi-level smart meter inspection system is constructed, and a complete management process is formed to audit equipment operation records, formulate energy consumption budgets, collect data, alarm for abnormal energy consumption, and perform data statistical analysis to assist in the establishment of an energy consumption management platform.

[0093] like Figure 3As shown, the multi-level electric meters are divided as follows: Level 1 electric meter (physical meter): deployed at the main power incoming line of the city electricity, which can be the high-voltage side (high-voltage incoming line cabinet) or the low-voltage side. It is used to monitor the total power incoming to the bureau, audit the difference between the power supply company and the total power, and facilitate the verification of whether there is power theft, leakage, leakage or dripping. Level 2 electric meter (physical meter): deployed in the low-voltage distribution cabinet, to distinguish between production power (special air conditioner on the third floor, ordinary air conditioner on the third floor, inverter power supply, power room air conditioner, IDC computer room on the third floor, conference room air conditioner on the second floor, conference room lighting on the second floor, power room switch power supply), office power (water room power, vault power, elevator, comprehensive office building lighting, comprehensive office building air conditioner, backyard living building), business power (business hall air conditioner, business hall lighting) and third-party power. Level 4 electric meter (physical meter): deployed in the power room and professional computer room (computer room special air conditioner, computer room ordinary air conditioner, computer room head cabinet), corresponding to the position of circuit breaker and fuse. Used to monitor the energy consumption of each branch of the DC distribution panel in the power room of the first cabinet, the UPS output distribution panel, and the air-conditioning distribution cabinet. Level 3 table (logical table): summarizes the total energy consumption of the equipment in the computer room and the total energy consumption of the air-conditioning in the computer room collected by the level 4 meter. The total energy consumption of the equipment in the computer room and the total energy consumption of the air-conditioning in the computer room can be used to calculate the PUE (Power Usage Effectiveness) value of the entire computer room. Level 5 table (logical table): The distribution ratio is obtained by the clamp meter of the computer room professionals, and through the power series connection relationship, the total energy consumption of the equipment in the computer room on the level 4 table is divided into the energy consumption of each professional power-consuming equipment in the computer room (that is, load power-consuming equipment, such as core network equipment, transmission equipment, and data equipment). (The function of the clamp meter is to measure current. Under the same voltage, the larger the current, the greater the power consumption, and the energy consumption value is allocated according to the proportion of the current).

[0094] 3. Collect energy consumption data of multiple electric meters

[0095] Specifically, all equipment and cables from high voltage input to load power consumption are fully surveyed, sorted out, and presented, and the location, quantity, type, etc. of multi-level electricity meters are marked, so that accurate measurement of energy consumption by item, area, grid, and person can be achieved.

[0096] 4. Energy consumption data analysis

[0097] It should be noted that energy consumption data analysis is an independent method after collecting energy consumption data from multiple levels of electricity meters. Specifically, energy consumption indicators are broken down into units and individuals, and charter personnel are urged to do basic management themselves, implement specific energy-saving actions, and improve the quality of energy consumption management and control. The total energy efficiency PUE value of the computer room is accurately calculated through three-level electricity meters, where PUE = total energy consumption of computer room equipment + total energy consumption of computer room air conditioners / total energy consumption of computer room equipment. A comprehensive PUE energy consumption evaluation standard is established, and positive and negative incentives are implemented to stimulate employees' enthusiasm for participating in energy consumption reduction. If PUE>1.5, the energy consumption of the computer room is abnormal, and equipment such as air conditioners need to be checked. If PUE≤1.5, the computer room is judged to be low-carbon and environmentally friendly, in line with the green development strategy.

[0098] 5. Establish an energy consumption health evaluation mechanism

[0099] It should be noted that establishing an energy consumption health evaluation mechanism is an independent method after collecting energy consumption data from multiple levels of electricity meters. Specifically, an energy consumption health evaluation mechanism is established to summarize and analyze the readings of electricity meters at all levels. The error of the entire circuit is controlled within 5%, the error between the mains and the first-level electricity meter does not exceed 3%, the error between the first- and second-level electricity meters does not exceed 5%, and the error between the second- and third-level electricity meters does not exceed 10%. Combined with abnormal energy consumption alarms, energy loss problems can be identified to achieve energy conservation and carbon reduction, and improve quality and efficiency.

[0100] Assume that the reading of the mains meter is X (the mains meter is provided by the power supply company), the total reading of the first-level meter is Y1, the total reading of the second-level meter corresponding to the third-level meter is Y2, and the total reading of the third-level meter is Y3; the error between the mains meter reading and the total reading of the first-level meter is Z1 (the purpose is to audit whether the first-level meter is normal), the error between the total readings of the first-level and second-level meters is Z2, the error between the total reading of the second-level meter corresponding to the third-level meter and the total reading of the third-level meter is Z3, and the error between the mains meter reading and the total readings of the first-level, second-level, and third-level meters is Z4, where. The readings of meters at all levels are summarized and analyzed, requiring Z1 = |X-Y1| / X≤3%, Z2 = |Y1-Y2| / Y1≤5%, Z3 = |Y2-Y3| / Y2≤10%, and Z4 = |X-Y1-Y2-Y3| / X≤5%.

[0101] If Z4 is greater than 5%, it is considered that the error of the entire circuit is large, and the mains meter, first-level, second-level, and third-level meter should be audited in turn to check whether the meter measurement is accurate. Similarly, if Z1 is greater than 3%, Z2 is greater than 5%, and Z3 is greater than 10%, the corresponding meter also needs to be checked.

[0102] 6. Abnormal energy consumption handling

[0103] It should be noted that energy consumption anomaly processing is an independent method after collecting energy consumption data from multi-level electric meters. Specifically, a multi-dimensional energy consumption anomaly analysis model is established to drive reminders for computer rooms and equipment with abnormal energy consumption. When the energy consumption exceeds the preset threshold, the charterer is notified in time to find the cause and solve the energy consumption anomaly fault. Specifically, Figure 4 As shown, the specific steps are as follows:

[0104] F1: Abnormal energy consumption alarm

[0105] Custom alarm rules (i.e., multi-dimensional energy consumption change analysis model) are established on the platform side to monitor energy consumption in real time. If the energy consumption data of any level of the multi-level meter energy consumption data is abnormal according to the custom alarm rules, an alarm is triggered.

[0106] F2: Dispatching abnormal energy consumption work orders

[0107] After the alarm is triggered, the abnormal energy consumption work order is dispatched through the work order system and assigned to specific people.

[0108] F3: Locating the root cause of abnormal energy consumption

[0109] After receiving the abnormal work order, the charterer will find out the cause of the abnormal energy consumption.

[0110] F4: Processing of abnormal energy consumption work orders

[0111] The charterer processes the work order through the Palmtong APP and promptly provides feedback on the work order issues, which helps to resolve the problems quickly.

[0112] Energy consumption data is collected and monitored in real time through a multi-level meter intelligent inspection system. In the energy consumption abnormality alarm step, a series of energy consumption change analysis models are established, including: equipment / computer room benchmark difference rate change model, equipment / computer room month-on-month difference rate change model, comprehensive PUE difference rate change model, and meter collection change model. Problems that arise during the collection and aggregation of energy consumption data are promptly reported to ensure the stability, accuracy, and timeliness of data collection.

[0113] In setting the parameters of the energy consumption variation model, the difference rate is Δ, (Delta), where:

[0114] ① The energy consumption of benchmark equipment is A, the energy consumption of similar equipment (equipment energy consumption, i.e., the energy consumption of professional electrical equipment in the five-level electricity meter energy consumption data) is B, and the benchmark difference rate between similar equipment and benchmark equipment is Δ1, Δ1=|AB| / A. If Δ1≤70%, the benchmark difference rate indicator of the equipment is normal; otherwise, it is considered that the energy consumption of the equipment is abnormal.

[0115] ② The month-on-month difference rate of energy consumption of the same equipment is Δ2. If Δ2≤15%, the month-on-month difference rate indicator of the equipment is normal; otherwise, it is considered that the energy consumption of the equipment is abnormal, where the month-on-month difference rate of equipment energy consumption = |equipment energy consumption in this period - equipment energy consumption in the previous period| / equipment energy consumption in the previous period.

[0116] ③ The total energy consumption of the benchmark computer room is D, and the total energy consumption of the same type of computer room (the total energy consumption of the computer room is obtained by adding the total energy consumption of the computer room equipment in the three-level electric meter energy consumption data and the total energy consumption of the air conditioner in the computer room) is E. The benchmark difference rate between the same type of computer room and the benchmark computer room is Δ3, Δ3=|DE| / D. If Δ3≤20%, the benchmark difference rate indicator of the computer room is normal; otherwise, it is considered that the total energy consumption of the computer room is abnormal.

[0117] ④ The month-on-month difference rate of total energy consumption of the same computer room is Δ4. If Δ4≤10%, the month-on-month difference rate indicator of the computer room is normal; otherwise, it is considered that the total energy consumption of the computer room is abnormal, where the month-on-month difference rate of total energy consumption of the computer room = |total energy consumption of the computer room in this cycle - total energy consumption of the computer room in the previous cycle| / total energy consumption of the computer room in the previous cycle.

[0118] ⑤ The PUE of the benchmark computer room is G, and the PUE of the similar computer room is K. The PUE difference rate between the similar computer room and the benchmark computer room is Δ5, Δ5=|GK| / G. If Δ5≤20%, the PUE difference rate indicator of the computer room is normal; otherwise, it is considered that the PUE of the computer room is abnormal.

[0119] ⑥ The number of missing energy consumption in the energy consumption data collected by each level of electricity meter is F. If F≤5, the collection indicators of the electricity meter at this level are normal; otherwise, it is considered that there is an abnormality in the electricity meter at this level.

[0120] 7. Energy-saving strategy preparation

[0121] It should be noted that the energy-saving strategy is compiled as an independent method after collecting energy consumption data from multiple levels of electricity meters. Specifically, based on the collected basic operation, peak business and energy consumption data of different time periods, as well as the number of users, business volume, service quality and other data, a portrait is established, a benchmark is set, features are extracted, and devices with high energy consumption and low business value are located. For these devices, energy-saving strategies are formulated through intelligent control technology, mobile network user behavior analysis and expert experience. Energy-saving types include air switch, channel shutdown, cell shutdown, and symbol shutdown. Periodic / non-periodic energy-saving strategies can be formulated, and energy-saving rules or energy-saving instructions can be issued remotely through the platform.

[0122] like Figure 5 As shown, the specific steps include: energy-saving strategy preparation, energy-saving application initiation, item-by-item verification, process approval, energy-saving strategy issuance, file service, intelligent control technology solution analysis, hard shutdown, soft shutdown, shutdown strategy issuance, file verification, and timely execution of energy-saving instructions.

[0123] This method realizes the production and compilation of energy-saving rules, and performs line-by-line permission verification on the rule file, uploads the file to the file server and issues energy-saving notifications to the intelligent gateway. After receiving the rules, each professional network management system executes the energy-saving strategy on time; and supports one-key start / stop through the Palmtong APP, which controls the equipment to execute instructions normally and return to the open / closed state correctly, so as to realize automatic control and optimized operation of the equipment and further reduce energy consumption.

[0124] 8. Result evaluation

[0125] Specifically, the power management unit is connected to the cabinet and the charterer, so as to minimize power management and specify the responsible person:

[0126] In the integrated computer room on the second floor of Railway Bureau A, energy consumption is divided into grids of 5 people. Individuals can view the energy consumption data of chartered equipment in real time and actively optimize the air conditioning temperature in the computer room. After optimization, 108 degrees of electricity can be saved every day, 3,240 degrees of electricity can be saved per month, and 2,500 yuan in electricity bills can be saved per month. The energy consumption division provides a guarantee for mobilizing the enthusiasm of front-line energy consumption control.

[0127] B Railway Bureau: There were 354 active devices before the transformation. After the transformation, 44 high-energy-consuming / low-service devices were vacated and integrated. The error rate of the first and second level meters was high. After analysis, the transformer load rate was too low, resulting in high losses. After adjusting to the main-standby mode, after powering off one transformer, 889 kWh of electricity can be saved every day, 26,600 kWh of electricity can be saved per month, and 20,800 yuan of electricity bill can be saved per month.

[0128] C Railway Station: There were 682 active devices before the renovation, and 83 high-energy consumption / low-service devices were vacated and integrated after the renovation. The computer room has a total of 9 air conditioners, and 1 air conditioner is over-allocated. After shutting down, the room temperature still meets the room environment requirements. The PUE value of the computer room has been reduced from 1.83 to 1.71, saving 23,900 kWh of electricity per month, and saving 18,600 yuan in electricity bills per month.

[0129] D Railway Bureau: There were 1,128 active devices before the transformation. After the transformation, 111 high-energy-consuming / low-performance devices were vacated and integrated. After the power was turned off, 541 kWh of electricity was saved every day, 16,300 kWh of electricity was saved per month, and 12,700 yuan of electricity bills were saved per month.

[0130] 9. End

[0131] It is worth mentioning that the present invention first constructs a multi-level meter intelligent inspection system, manages the traffic volume, flow rate and other business volumes of base station equipment in the province, combines resource data, business data, energy consumption and other data, and establishes a multi-dimensional portrait of equipment, site, and computer room, realizing a multi-dimensional, comprehensive, and refined multi-level meter intelligent inspection method system for full-scale equipment energy consumption monitoring, and accurately measures the energy consumption of the province by item, zone, grid, and person. Then, an energy consumption health evaluation mechanism is built, and a multi-dimensional energy consumption change analysis model such as equipment benchmark difference rate change is established for single equipment and computer room, identifying problems such as high energy consumption, low business value, and energy waste. Finally, abnormal energy consumption is automatically audited, demarcated and located, and the order is driven to the person; in addition, the power consumption and energy consumption costs before and after the rectification are analyzed, and the rectification effect is evaluated to realize clear responsibility, quantification, and assessment of energy consumption costs. Implement energy consumption data matching to equipment, energy consumption cost budget to people, and energy consumption control responsibility to people. The present invention collects, monitors and analyzes the power data of the computer room in real time, promptly discovers energy consumption anomalies and energy waste problems, drives abnormal confirmation and work order dispatch, improves energy utilization, improves equipment operation efficiency, and improves management efficiency. In addition, the present invention supports the connection of massive devices. In terms of data processing efficiency, it adopts the Internet of Things technology and big data streaming analysis technology, supports the connection of millions of devices, and the collection frequency can be supported to the second level. The ultra-low collection frequency can understand the operation status of the equipment in real time, and can sense the equipment failure in the first time, ensuring the operating environment of the equipment, which is very competitive.

[0132] The energy consumption management method provided by the embodiment of the present invention first obtains energy consumption data collected by multi-level electricity meters, wherein the multi-level electricity meters are hierarchically divided according to the energy consumption from total energy consumption to each load electrical equipment; then, according to a pre-established multi-dimensional energy consumption change analysis rule, it is determined whether the energy consumption data is abnormal; finally, in response to abnormal energy consumption data of any level of electricity meter in the multi-level electricity meters, relevant management personnel are reminded. The present invention collects energy consumption data from multiple levels of electricity meters and divides them into levels, thus breaking through the limitation of only being able to obtain energy consumption data from the first-level total meter, realizing detailed monitoring of each load electrical equipment, so that energy consumption data can be accurately allocated to specific equipment, thereby improving the enthusiasm of employees to actively reduce energy consumption. At the same time, with the help of multi-dimensional energy consumption change analysis rules, anomalies are monitored in real time and relevant management personnel are reminded in time, so that management personnel can identify and respond to potential energy consumption risks in the first time, thereby realizing more efficient energy consumption management, and solving the problem that the existing energy consumption management method can only collect energy consumption data from the first-level total meter, and cannot go deep into the detailed energy consumption of each load electrical equipment, resulting in unclear energy consumption allocation and the problem that the charterer cannot perceive the anomaly in the first time.

[0133] Embodiment 2:

[0134] like Figure 6As shown, this embodiment provides an energy consumption management device, which is used to execute the above energy consumption management method, including:

[0135] An acquisition module 11 is used to acquire energy consumption data collected by multi-level electric meters, wherein the multi-level electric meters are hierarchically divided according to the energy consumption from total energy consumption to the energy consumption of each load electrical equipment;

[0136] A first judgment module 12, connected to the acquisition module 11, is used to judge whether the energy consumption data is abnormal according to a pre-established multi-dimensional energy consumption change analysis rule;

[0137] The reminding module 13 is connected to the first judging module 12 and is used for reminding relevant management personnel in response to abnormal energy consumption data of any level of electric meter in the multi-level electric meter.

[0138] Furthermore, the multi-level electricity meters include: first-level electricity meters, second-level electricity meters, third-level electricity meters, fourth-level electricity meters and fifth-level electricity meters, wherein the first-level electricity meters, second-level electricity meters and fourth-level electricity meters are physical meters, the first-level electricity meters are deployed at the main power incoming line, the second-level electricity meters are deployed in the low-voltage distribution cabinet, the fourth-level electricity meters are deployed in the power room and the computer room, the third-level electricity meters and fifth-level electricity meters are logical tables, the energy consumption data of the third-level electricity meters include the total energy consumption of equipment in each computer room and the total energy consumption of air conditioners, and the energy consumption data of the fifth-level electricity meters include the energy consumption of each load electrical equipment in the total energy consumption of equipment in each computer room.

[0139] Furthermore, the first determining module 12 specifically includes:

[0140] A first judgment unit is used for determining, for each load electrical device energy consumption in the energy consumption data of the five-level electric meter, that if the benchmark difference rate corresponding to the energy consumption of the load electrical device is greater than a preset first threshold value or the month-on-month difference rate corresponding to the energy consumption of the load electrical device is greater than a preset second threshold value, then the energy consumption of the load electrical device is abnormal;

[0141] An obtaining unit, used to obtain the total energy consumption and power utilization efficiency PUE of each computer room according to the total energy consumption of equipment and the total energy consumption of air conditioners in each computer room in the energy consumption data of the three-level electric meter;

[0142] A second judgment unit is used for the total energy consumption of each computer room. If the benchmark difference rate corresponding to the total energy consumption of the computer room is greater than a preset third threshold or the month-on-month difference rate corresponding to the total energy consumption of the computer room is greater than a preset fourth threshold, then the total energy consumption of the computer room is abnormal;

[0143] A third judgment unit is used for determining, for each computer room's PUE, that if a benchmark difference rate corresponding to the PUE of the computer room is greater than a preset fifth threshold, then the PUE of the computer room is abnormal;

[0144] The fourth judgment unit is used for determining, for each level of the electric meter in the multi-level electric meter, that the electric meter at the level is abnormal if the number of missing energy consumption in the energy consumption data collected by the electric meter at the level is greater than a preset sixth threshold.

[0145] Furthermore, the reminder module 13 specifically includes:

[0146] An alarm generating unit, used for generating an abnormal energy consumption alarm for the abnormal energy consumption data and generating an abnormal energy consumption work order;

[0147] The dispatching unit is used to dispatch the abnormal energy consumption work order to relevant management personnel so that the relevant management personnel can process the abnormal energy consumption work order.

[0148] Furthermore, the device also includes:

[0149] The inspection module is used to inspect the PUE of each computer room, if the PUE of the computer room is greater than a preset seventh threshold, each air conditioner in the computer room is inspected.

[0150] Furthermore, the device also includes:

[0151] A second judgment module is used to judge whether the mains meter, the first-level meter, the second-level meter and the third-level meter meet the preset verification conditions according to the preset mains meter reading and the total reading corresponding to the energy consumption data collected by the first-level meter, the second-level meter and the third-level meter;

[0152] The checking module is used for checking the meter that meets the preset checking condition in response to at least one of the mains meter, the first-level meter, the second-level meter and the third-level meter meeting the preset checking condition.

[0153] Furthermore, the second judgment module specifically includes:

[0154] a fifth judgment unit, configured to judge that the mains meter and the primary meter meet a preset verification condition if an error between the mains meter reading and the total reading corresponding to the primary meter is greater than a preset eighth threshold;

[0155] a sixth judgment unit, configured to judge that the first-level electric meter and the second-level electric meter meet a preset verification condition if an error between a total reading corresponding to the first-level electric meter and a total reading corresponding to the second-level electric meter is greater than a preset ninth threshold;

[0156] a seventh judgment unit, configured to judge that the secondary meter and the third-level meter meet a preset verification condition if an error between a total reading of the secondary meter corresponding to the third-level meter and a total reading corresponding to the third-level meter is greater than a preset tenth threshold;

[0157] The eighth judgment unit is used to judge whether the mains meter, the first-level meter, the second-level meter and the third-level meter meet the preset verification conditions if the error between the mains meter reading and the total reading corresponding to the first-level meter, the second-level meter and the third-level meter is greater than the preset eleventh threshold.

[0158] Furthermore, the device also includes:

[0159] A formulation module is used to locate load electrical equipment with high energy consumption and low business value based on the energy consumption data of the multi-level electricity meters, and formulate energy-saving strategies based on the load electrical equipment with high energy consumption and low business value and preset intelligent control technology by utilizing mobile network user behavior analysis and expert experience.

[0160] Embodiment 3:

[0161] refer to Figure 7 This embodiment provides an energy consumption management device, including a memory 21 and a processor 22. The memory 21 stores a computer program, and the processor 22 is configured to run the computer program to execute the energy consumption management method in Example 1.

[0162] The memory 21 is connected to the processor 22. The memory 21 may be a flash memory, a read-only memory or other memory. The processor 22 may be a central processing unit or a single-chip microcomputer.

[0163] Embodiment 4:

[0164] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the energy consumption management method in the above-mentioned embodiment 1 is implemented.

[0165] The computer-readable storage medium includes volatile or non-volatile, removable or non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, computer program modules or other data). Computer-readable storage media include, but are not limited to, RAM (Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable read only memory), flash memory or other memory technology, CD-ROM (Compact Disc Read-Only Memory), digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer.

[0166] In summary, the energy consumption management method, device and computer-readable storage medium provided by the embodiments of the present invention first obtain energy consumption data collected by multi-level electricity meters, wherein the multi-level electricity meters are hierarchically divided according to the energy consumption from total energy consumption to each load electrical equipment; then, according to pre-established multi-dimensional energy consumption change analysis rules, it is determined whether the energy consumption data is abnormal; finally, in response to abnormal energy consumption data of any level of electricity meter in the multi-level electricity meters, relevant management personnel are reminded. The present invention collects energy consumption data from multiple levels of electricity meters and divides them into levels, thus breaking through the limitation of only being able to obtain energy consumption data from the first-level total meter, realizing detailed monitoring of each load electrical equipment, so that energy consumption data can be accurately allocated to specific equipment, thereby improving the enthusiasm of employees to actively reduce energy consumption. At the same time, with the help of multi-dimensional energy consumption change analysis rules, anomalies are monitored in real time and relevant management personnel are reminded in time, so that management personnel can identify and respond to potential energy consumption risks in the first time, thereby realizing more efficient energy consumption management, and solving the problem that the existing energy consumption management method can only collect energy consumption data from the first-level total meter, and cannot go deep into the detailed energy consumption of each load electrical equipment, resulting in unclear energy consumption allocation and the problem that the charterer cannot perceive the anomaly in the first time.

[0167] It is to be understood that the above embodiments are merely exemplary embodiments used to illustrate the principles of the present invention, but the present invention is not limited thereto. For those of ordinary skill in the art, various modifications and improvements can be made without departing from the spirit and essence of the present invention, and these modifications and improvements are also considered to be within the scope of protection of the present invention.

Claims

1. An energy consumption management method, characterized in that: The method comprises: Acquire energy consumption data collected by multi-level electric meters, wherein the multi-level electric meters are hierarchically divided according to the energy consumption from total energy consumption to each load electrical device; Determine whether the energy consumption data is abnormal according to the pre-established multi-dimensional energy consumption change analysis rules; In response to abnormality in energy consumption data of any level of the multi-level electricity meters, a reminder is given to relevant management personnel.

2. The method according to claim 1, characterized in that: The multi-level electricity meters include: first-level electricity meters, second-level electricity meters, third-level electricity meters, fourth-level electricity meters and fifth-level electricity meters, wherein the first-level electricity meters, second-level electricity meters and fourth-level electricity meters are physical meters, the first-level electricity meters are deployed at the main power incoming line, the second-level electricity meters are deployed in the low-voltage distribution cabinet, the fourth-level electricity meters are deployed in the power room and the computer room, the third-level electricity meters and the fifth-level electricity meters are logical tables, the energy consumption data of the third-level electricity meters include the total energy consumption of equipment in each computer room and the total energy consumption of air conditioners, and the energy consumption data of the fifth-level electricity meters include the energy consumption of each load electrical equipment in the total energy consumption of equipment in each computer room.

3. The method according to claim 2, characterized in that The determining whether the energy consumption data is abnormal according to the pre-established multi-dimensional energy consumption change analysis rules specifically includes: For the energy consumption of each load electrical device in the energy consumption data of the five-level electric meter, if the benchmark difference rate corresponding to the energy consumption of the load electrical device is greater than the preset first threshold or the month-on-month difference rate corresponding to the energy consumption of the load electrical device is greater than the preset second threshold, then the energy consumption of the load electrical device is abnormal; According to the total energy consumption of the equipment and the total energy consumption of the air conditioner in each computer room in the energy consumption data of the three-level electric meter, the total energy consumption and the power utilization efficiency PUE of each computer room are obtained; For the total energy consumption of each computer room, if the benchmark difference rate corresponding to the total energy consumption of the computer room is greater than the preset third threshold or the month-on-month difference rate corresponding to the total energy consumption of the computer room is greater than the preset fourth threshold, then the total energy consumption of the computer room is abnormal; For the PUE of each computer room, if the benchmark difference rate corresponding to the PUE of the computer room is greater than a preset fifth threshold, then the PUE of the computer room is abnormal; For each level of the electric meter in the multi-level electric meter, if the number of missing energy consumption in the energy consumption data collected by the electric meter at that level is greater than a preset sixth threshold, then the electric meter at that level is abnormal.

4. The method according to claim 1, characterized in that: The reminders to the relevant managers specifically include: Produce an abnormal energy consumption alarm for the abnormal energy consumption data and generate an abnormal energy consumption work order; The abnormal energy consumption work order is distributed to relevant management personnel so that the relevant management personnel can handle the abnormal energy consumption work order.

5. The method according to claim 3, characterized in that: The method further comprises: For the PUE of each computer room, if the PUE of the computer room is greater than a preset seventh threshold, each air conditioner in the computer room is checked.

6. The method according to claim 2, characterized in that The method further comprises: According to the preset mains meter reading and the total reading corresponding to the energy consumption data collected by the first-level meter, the second-level meter and the third-level meter, it is determined whether the mains meter, the first-level meter, the second-level meter and the third-level meter meet the preset verification conditions; In response to at least one of the mains meter, the primary meter, the secondary meter and the tertiary meter meeting a preset verification condition, the meter meeting the preset verification condition is verified.

7. The method according to claim 6, characterized in that The determining whether the mains meter, the first-level meter, the second-level meter and the third-level meter meet the preset verification conditions according to the preset mains meter reading and the total reading corresponding to the energy consumption data collected by the first-level meter, the second-level meter and the third-level meter specifically includes: If the error between the reading of the mains meter and the total reading corresponding to the primary meter is greater than a preset eighth threshold, it is determined that the mains meter and the primary meter meet the preset verification condition; If the error between the total reading corresponding to the primary electric meter and the total reading corresponding to the secondary electric meter is greater than a preset ninth threshold, it is determined that the primary electric meter and the secondary electric meter meet the preset verification condition; If the error between the total readings of the secondary meter corresponding to the third-level meter and the total readings corresponding to the third-level meter is greater than a preset tenth threshold, it is determined that the secondary meter and the third-level meter meet the preset verification condition; If the error between the AC power meter reading and the total readings corresponding to the first-level meter, the second-level meter and the third-level meter is greater than the preset eleventh threshold, it is judged that the AC power meter, the first-level meter, the second-level meter and the third-level meter meet the preset verification conditions.

8. The method according to claim 2, characterized in that: The method further comprises: According to the energy consumption data of the multi-level electricity meters, load electrical equipment with high energy consumption and low business value is located, and based on the load electrical equipment with high energy consumption and low business value and the preset intelligent control technology, energy-saving strategies are formulated using mobile network user behavior analysis and expert experience.

9. An energy consumption management device, characterized in that: include: An acquisition module is used to acquire energy consumption data collected by multi-level electric meters, wherein the multi-level electric meters are hierarchically divided according to the energy consumption from total energy consumption to the energy consumption of each load electrical equipment; A first judgment module, connected to the acquisition module, is used to judge whether the energy consumption data is abnormal according to a pre-established multi-dimensional energy consumption change analysis rule; The reminder module is connected to the first judgment module and is used to remind relevant management personnel in response to abnormal energy consumption data of any level of electricity meter in the multi-level electricity meter.

10. An energy consumption management device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to implement the energy consumption management method according to any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the energy consumption management method according to any one of claims 1 to 8 is implemented.

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