Blade type power supply module rapid deployment system and method

Abstract

The invention discloses a blade type power supply module rapid deployment system and method, relates to the technical field of power distribution, is used for improving the problem of electric energy loss caused by high-frequency use of small equipment in a low power grid load area, and comprises the steps of confirming a deployment area, screening a power utilization area, evaluating a power grid load in the power utilization area, and carrying out power distribution. Power-on equipment record information of the power utilization area is collected, the power grid load evaluation result of the power utilization area and the power-on equipment record information are integrated, category judgment is conducted on power grid loads of the power utilization area through an analytic hierarchy process, and category labels are set; different devices are marked according to the recorded information of the electrified devices, the charging durations and the electrified frequencies of the different marked devices are collected, the charging durations and the electrified frequencies of the devices are integrated, the electrical loss coefficients of the corresponding electricity utilization areas are calculated through a geometric mean method, and whether energy-saving processing is carried out on the electricity utilization areas or not is judged. And setting energy-saving grades according to the electric loss coefficients and the category labels of the power utilization areas, and performing energy-saving treatment on the power utilization areas according to the energy-saving grades.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution, and more particularly to a blade-type power module rapid deployment system and method. Background Art

[0002] Power distribution technology refers to the technology and method of effectively and safely distributing the power generated by power plants to end users in the power system. Blade power modules are applied to power distribution technology to simplify the installation and maintenance of base stations, making them more flexible and efficient and enabling rapid deployment.

[0003] The prior art has the following deficiencies:

[0004] In the past, electricity was distributed according to the load on the power grid. When the load on the power grid in a region was too large, a large amount of electricity was consumed. When the amount of electricity distributed was too much, energy-saving processing was performed. However, the high-frequency use of small devices will also lead to energy accumulation. Failure to perform energy-saving processing will lead to a large amount of hidden energy loss and increase electricity costs. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a blade power module rapid deployment system and method, which analyzes the power distribution division of the deployment area and screens the power consumption area, evaluates the grid load of each power consumption area in real time, calculates the power loss of each power consumption area, makes energy-saving judgments and sets energy-saving sequences for each power consumption area, and realizes dynamic adjustment of power replenishment to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A blade power module rapid deployment system includes a data acquisition module, a load analysis module, an energy-saving judgment module and an energy-saving processing module, and the modules are signal-connected;

[0008] The data acquisition module conducts a preliminary assessment of the grid load in the power consumption area by connecting to the load analyzer, calls the intelligent monitoring system to obtain the recorded information of the powered equipment in the power consumption area, transmits the grid load assessment results of the power consumption area to the load analysis module, and transmits the recorded information of the powered equipment to the load analysis module and the energy-saving judgment module;

[0009] The load analysis module is used to receive the grid load assessment results and the recorded information of the powered equipment in the power consumption area, and classify the grid load in the power consumption area using the hierarchical analysis method, set a category number for the power consumption area according to the judgment result, and pass the category number to the energy saving judgment module;

[0010] The energy-saving judgment module receives the recorded information of the powered devices, marks different devices according to the recorded information of the powered devices, sets the detection time to detect the charging time and power-on frequency of different marked devices, calculates the power loss coefficient of each power consumption area by using the geometric mean algorithm based on the charging time and power-on frequency of all marked devices in the power consumption area, sets the energy-saving level according to the category number and power loss coefficient of the power consumption area, compares the power loss coefficient of the current power consumption area with the preset power loss threshold, determines whether the current power consumption area is subject to energy-saving processing, and transmits the judgment result and energy-saving level to the energy-saving processing module;

[0011] The energy-saving processing module is used to receive the judgment result and energy-saving level transmitted by the energy-saving judgment module to determine the energy-saving sequence of each power consumption area and perform energy-saving processing for different power consumption areas by adjusting the blade power supply module.

[0012] In a preferred embodiment, before conducting a preliminary assessment of the grid load in the power consumption area, the data acquisition module obtains the power distribution in the deployment area by installing current monitoring sensors on different circuits, records the current on each circuit, selects the median current on each circuit, screens out circuits with currents above the median current, and divides the area into multiple power consumption areas using the electrical appliances connected to the different screened circuits.

[0013] In a preferred embodiment, the load analysis value of the power grid in each power consumption area is obtained through a load analyzer, and the recorded information of the powered equipment includes the number of powered equipment in the power consumption area and the model of the powered equipment. The data acquisition module transmits the load analysis value of the power grid and the number of powered equipment in each power consumption area to the load analysis module, and transmits the model of each powered equipment in the power consumption area to the energy-saving judgment module;

[0014] The load analysis module classifies the grid load of each power consumption area by using the analytic hierarchy process based on the grid load analysis value of the power consumption area and the number of powered devices.

[0015] In a preferred embodiment, the load analysis module uses the hierarchical analysis method to classify the grid load of the power consumption area and the number of powered devices in the power consumption area, and then uses the Z-score standardization formula to standardize the grid load analysis value of the power consumption area and the number of powered devices; the standardized result of the grid load analysis value of the power consumption area is used as the load coefficient, and the standardized result of the number of powered devices in the power consumption area is used as the device coefficient; the power consumption areas are sorted from small to large according to the device coefficient, and the load weight is set using the hierarchical analysis method. The specific steps are as follows:

[0016] Construct a judgment matrix: Construct a judgment matrix to compare the relative importance of each power consumption area;

[0017] Matrix simplification: Normalize the values ​​of each column of the judgment matrix so that the sum of the values ​​of each column is 1. For each column, calculate the weighted average value as the load weight for the power application area;

[0018] Calculate the load judgment coefficient: multiply the load weight of each power consumption area by the load coefficient of the corresponding power consumption area, and use the product as the load judgment coefficient of the power consumption area;

[0019] The average value of the load judgment coefficient of the power consumption area is used as the category judgment threshold. When the load judgment coefficient of the power consumption area exceeds the category judgment threshold, the category label of the power consumption area is set to 1. When the load judgment coefficient of the power consumption area is lower than the category judgment threshold, the category label of the power consumption area is set to 0.

[0020] In a preferred embodiment, the energy-saving judgment module receives the models of each powered device in the power consumption area and compares them with the device tags stored in the device management database, marks the powered devices with different device tags differently, selects a period of time as the detection time, and detects the charging time and power-on frequency of the devices with different tags through a data logger;

[0021] The charging time and power-on frequency of different marked devices in each power consumption area are standardized according to the Z-score standardization formula, and then the power loss coefficient of each power consumption area is calculated using the geometric mean algorithm. The calculation formula of the geometric mean algorithm is: Where c is the power loss coefficient of the power consumption area, a is the result of standardizing the charging time of devices with different markings in the power consumption area, and b is the result of standardizing the power-on frequency of devices with different markings in the power consumption area;

[0022] The power loss coefficient of each power consumption area is compared with the preset power loss threshold. When the power loss coefficient of the power consumption area exceeds the power loss threshold, it is determined that the power consumption area should make energy-saving adjustments; when the power loss coefficient of the power consumption area is lower than the power loss threshold, it is determined that the power consumption area should not make energy-saving adjustments.

[0023] In a preferred embodiment, the energy-saving judgment module formulates the following rules to set the energy-saving level based on the category number of the power consumption area and the power loss coefficient:

[0024] Rule 1: If the category number of the current power consumption area is 1 and the power loss coefficient exceeds the average power loss coefficient of the power consumption area, the power consumption area is classified as a first-level regulation area;

[0025] Rule 2: If the category number of the current power consumption area is 0 and the power loss coefficient exceeds the average power loss coefficient of the power consumption area, the power consumption area is classified as a secondary regulation area;

[0026] Rule 3: If the category number of the current power consumption area is 1 and the power loss coefficient is lower than the average power loss coefficient of the power consumption area, the power consumption area is classified as a third-level regulation area;

[0027] Rule 4: If the category number of the current power consumption area is 0 and the power loss coefficient is lower than the average power loss coefficient of the power consumption area, the power consumption area is classified as a fourth-level regulation area.

[0028] In a preferred embodiment, the energy-saving processing module is used to receive the judgment result transmitted by the energy-saving judgment module and the energy-saving level to determine the energy-saving sequence rules of each power consumption area as follows:

[0029] When the judgment result of the power consumption area is to make energy-saving adjustments, the power consumption area will be incorporated into the energy-saving data set, and priority energy-saving treatment will be performed in the order of the energy-saving levels of the power consumption areas. When energy-saving treatment is performed on the power consumption areas, priority will be given to the order of the first-level adjustment area, the second-level adjustment area, the third-level adjustment area, and the fourth-level adjustment area. For power consumption areas with the same energy-saving level, one power consumption area will be randomly selected for energy-saving adjustment.

[0030] In a preferred embodiment, when energy-saving adjustment is performed on the power consumption area, the energy-saving adjustment is performed on the power consumption area by switching the high power density DC-DC converter in the blade power module to adjust the conversion efficiency threshold of the electric energy, and the power consumption areas with different energy-saving levels are processed in a targeted manner by the conversion efficiency threshold set in advance;

[0031] The blade power module is a modular power supply design with a thin or rectangular appearance. It contains a high-power density DC-DC converter. A DC-DC converter is an electronic device that converts one DC voltage into another. It is used to select a pre-set conversion efficiency threshold according to different power consumption areas with different energy-saving levels to make targeted energy-saving adjustments to the power consumption areas.

[0032] A blade power module rapid deployment method is used to implement the above-mentioned blade power module rapid deployment system, comprising the following steps:

[0033] Step S1: Divide and screen multiple power consumption areas according to the power consumption distribution in the area, conduct a preliminary assessment of the grid load in the power consumption area, and obtain the recorded information of the powered equipment in the power consumption area;

[0034] Step S2: classify the power consumption area based on the grid load assessment results and the recorded information of the powered equipment in the power consumption area, and set a category number for the power consumption area;

[0035] Step S3: Mark different devices in the power consumption area according to the recorded information of the powered devices, collect the charging time and power-on frequency of all marked devices in the power consumption area, calculate the power loss coefficient of each power consumption area, and determine whether the power consumption area needs energy saving, and set the energy saving level according to the category number and power loss coefficient of the power consumption area;

[0036] Step S4: Screen out the power consumption areas to be processed for energy saving, set an energy saving sequence according to the energy saving levels of the screened power consumption areas, and perform energy saving on the power consumption areas according to the energy saving sequence.

[0037] The technical effects and advantages of the blade power module rapid deployment system and method of the present invention are as follows:

[0038] The present invention identifies the power consumption distribution in the area and screens to obtain multiple power consumption areas, thereby reducing the cost of energy-saving detection, evaluating the power grid load of the power consumption area, collecting the recorded information of the powered equipment in the power consumption area, comprehensively evaluating the power grid load of the power consumption area and the recorded information of the powered equipment, and determining the category of the power grid load of the power consumption area according to the evaluation results of the power grid load of the power consumption area and the recorded information of the powered equipment, and determining the subsequent different electric energy adjustment degrees and sequences for different power grid loads, thereby improving the deployment efficiency, setting the category number of the power consumption area according to the judgment result, marking different devices according to the recorded information of the powered equipment, collecting the charging time and the power-on frequency of the device according to the mark of the device for detection, calculating the power loss coefficient of the power consumption area according to the charging time and the power-on frequency of the device, judging whether to perform energy-saving processing according to the power loss coefficient of the power consumption area, and again performing energy-saving screening on the power consumption area, thereby improving the accuracy of energy-saving adjustment, comprehensively setting the energy-saving level according to the power loss coefficient of the power consumption area and the category number, determining the energy-saving order of each power consumption area according to the energy-saving level, and performing energy-saving processing for different power consumption areas by adjusting the blade power supply module, thereby greatly improving the recovery rate of electric energy and realizing the rapid dynamic deployment of energy-saving adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 The present invention is a flowchart of a blade power module rapid deployment system.

[0040] Figure 2 A schematic diagram of a method for rapidly deploying a blade power module according to the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] The present invention obtains multiple power consumption areas by identifying the power consumption distribution in the area and screening it, evaluates the power grid load of the power consumption area, collects the recorded information of the powered equipment in the power consumption area, classifies the power grid load of the power consumption area by comprehensively analyzing the power grid load evaluation results and the recorded information of the powered equipment, sets the category number of the power consumption area according to the judgment result, marks different devices according to the recorded information of the powered equipment, collects the charging time and the power-on frequency of the equipment according to the mark for detection, calculates the power loss coefficient of the power consumption area by comprehensively analyzing the charging time and the power-on frequency of the equipment, determines whether to perform energy-saving processing according to the power loss coefficient of the power consumption area, sets the energy-saving level according to the power loss coefficient of the power consumption area, determines the energy-saving order of each power consumption area according to the energy-saving level, and performs energy-saving processing for different power consumption areas by adjusting the blade power supply module.

[0043] Embodiment 1, a blade power module rapid deployment system, such as Figure 1 As shown, it includes a data acquisition module, a load analysis module, an energy-saving judgment module and an energy-saving processing module, and the modules are connected by signals.

[0044] The functions of each module are as follows:

[0045] The data acquisition module conducts a preliminary assessment of the grid load in the power consumption area by connecting to the load analyzer, calls the intelligent monitoring system to obtain the recorded information of the powered equipment in the power consumption area, transmits the grid load assessment results of the power consumption area to the load analysis module, and transmits the recorded information of the powered equipment to the load analysis module and the energy-saving judgment module;

[0046] The load analysis module is used to receive the grid load assessment results and the recorded information of the powered equipment in the power consumption area, and classify the grid load in the power consumption area using the hierarchical analysis method, set a category number for the power consumption area according to the judgment result, and pass the category number to the energy saving judgment module;

[0047] The energy-saving judgment module receives the recorded information of the powered devices, marks different devices according to the recorded information of the powered devices, sets the detection time to detect the charging time and power-on frequency of different marked devices, calculates the power loss coefficient of each power consumption area by using the geometric mean algorithm based on the charging time and power-on frequency of all marked devices in the power consumption area, sets the energy-saving level according to the category number and power loss coefficient of the power consumption area, compares the power loss coefficient of the current power consumption area with the preset power loss threshold, determines whether the current power consumption area is subject to energy-saving processing, and transmits the judgment result and energy-saving level to the energy-saving processing module;

[0048] The energy-saving processing module is used to receive the judgment result and energy-saving level transmitted by the energy-saving judgment module to determine the energy-saving sequence of each power consumption area and perform energy-saving processing for different power consumption areas by adjusting the blade power supply module.

[0049] It should be noted that a load analyzer is an instrument used to measure and analyze electrical load performance. It can measure parameters such as current, voltage power factor, and active power in real time. An intelligent monitoring system is a system used for real-time data collection, monitoring, and management. In this example, it is used to obtain recorded information on powered equipment in the power consumption area.

[0050] Before making a preliminary assessment of the grid load in the power consumption area, the data acquisition module first determines the power distribution in the area. The power distribution in the area can be obtained by installing current monitoring sensors on different circuits, recording the current on each circuit, selecting the median current on each circuit, screening out circuits with currents above the median current, and dividing the area into multiple power consumption areas with electrical appliances connected to the screened different circuits. The grid load in each power consumption area is analyzed by a load analyzer and the grid load analysis value is obtained. The recorded information of the powered equipment includes the number of powered equipment in the power consumption area and the models of powered equipment. The data acquisition module transmits the grid load analysis value and the number of powered equipment in each power consumption area to the load analysis module, and transmits the models of each powered equipment in the power consumption area to the energy-saving judgment module.

[0051] It should be noted that the current monitoring sensor is a device used to monitor and monitor current in real time. This example is used to monitor the current on different circuits to screen key power consumption areas. The current monitoring sensor can perform real-time monitoring, thereby realizing dynamic screening of key power consumption areas.

[0052] The load analysis module classifies the grid load of each power consumption area based on the grid load analysis value and the number of powered devices in the power consumption area using the hierarchical analysis method. Before classifying the grid load of the power consumption area using the hierarchical analysis method, the grid load analysis value and the number of powered devices in the power consumption area are standardized.

[0053] The Z-score standardization formula is used to standardize the grid load analysis value and the number of powered devices in each power consumption area: nore =x-μ / σ, where x is the grid load analysis value or the number of powered devices in each power consumption area, x nore is the normalized result of the grid load analysis value or the number of powered devices in each power consumption area, μ is the average value of the grid load analysis value or the number of powered devices in each power consumption area, and σ is the standard deviation of the grid load analysis value or the number of powered devices in each power consumption area.

[0054] It should be noted that Z-score standardization is a commonly used data preprocessing technique that aims to convert data into a distribution with a mean of 0 and a standard deviation of 1, which can eliminate the dimensional effects between different features.

[0055] The standardized result of the grid load analysis value of the power consumption area is used as the load coefficient, and the standardized result of the number of powered devices in the power consumption area is used as the equipment coefficient. The power consumption areas are sorted from small to large according to the equipment coefficient, and the load weight is set using the hierarchical analysis method. The specific steps are as follows:

[0056] Construct a judgment matrix: Construct a judgment matrix to compare the relative importance of each power consumption area. You can use a 3-point scale of 1 to 3, where 1 indicates the same importance, 2 indicates a slight difference in importance, and 3 indicates a severe difference in importance. This example uses three power consumption areas as an example to construct a judgment matrix.

[0057]

[0058]

[0059] Matrix simplification: Calculate the eigenvector of each power consumption area. The eigenvector of the power consumption area is the weighted average of each column of the matrix. Before calculating the eigenvector of the power consumption area, it is necessary to normalize the values ​​of each column of the judgment matrix. Even if the sum of the values ​​of each column is 1, for each column, calculate the weighted average as the element value of the eigenvector. The above judgment matrix is ​​normalized and simplified as shown below:

[0060]

[0061] Calculate the weighted average of each power consumption area as the relative importance of the power consumption area:

[0062] The load weight of power consumption area A = (0.1667 + 0.1429 + 0.1818) / 3 = 0.1638;

[0063] The load weight of the power consumption area B = (0.3333 + 0.2857 + 0.2727) / 3 = 0.2972;

[0064] The load weight of power consumption area C = (0.5000 + 0.5714 + 0.5455) / 3 = 0.5390.

[0065] Among them, A, B, and C power consumption areas are the three power consumption areas listed in this example. After sorting the equipment coefficients of the power consumption areas, they correspond to A, B, and C power consumption areas one by one in ascending order.

[0066] After obtaining the load weight of each power consumption area, multiply the load weight of each power consumption area by the load coefficient of the corresponding power consumption area, and use the product as the load judgment coefficient of the power consumption area. The average value of the load judgment coefficient of the power consumption area can be used as the category judgment threshold.

[0067] When the load judgment coefficient of the power consumption area exceeds the category judgment threshold, the category label of the power consumption area is set to 1; when the load judgment coefficient of the power consumption area is lower than the category judgment threshold, the category label of the power consumption area is set to 0.

[0068] The energy-saving judgment module receives the model numbers of each powered device in the power consumption area and compares them with the device tags stored in the equipment management database. For all the matched and confirmed powered devices in the power consumption area, the powered devices with different device tags are marked differently, and the powered devices with the same device tags are counted under the corresponding tags. The initial tag count of each powered device is 1. Every subsequent appearance of the same device tag will increase the initial tag count by one for update.

[0069] After marking the powered devices in the power consumption area, the energy-saving judgment module selects a period of time as the detection time, and detects the charging time and power-on frequency of the devices with different marks through the data logger. The charging time and power-on frequency of the devices with different marks in each power consumption area are standardized according to the Z-score standardization formula, and then the power loss coefficient of each power consumption area is calculated using the geometric mean algorithm. The calculation formula of the geometric mean algorithm is: Where c is the power loss coefficient of the power consumption area, a is the result of standardizing the charging time of devices with different markings in the power consumption area, and b is the result of standardizing the power-on frequency of devices with different markings in the power consumption area.

[0070] The power loss coefficient of each power consumption area is compared with the preset power loss threshold. When the power loss coefficient of the power consumption area exceeds the power loss threshold, it is judged that the power consumption area needs to save energy; when the power loss coefficient of the power consumption area is lower than the power loss threshold, it is judged that the power consumption area does not need to save energy.

[0071] It should be noted that the device management database is a system for storing and managing device information, which can be used to identify the models of powered devices and classify and mark the powered devices. The data logger is a device for automatically collecting and storing data. In this example, the data logger is used to record the charging time and power-on frequency of differently marked devices in each power consumption area. The setting of the power loss threshold is set by professionals in this field and will not be described here.

[0072] The energy-saving judgment module sets the energy-saving level by formulating the following rules based on the category number of the power consumption area and the power loss coefficient:

[0073] Rule 1: If the category number of the current power consumption area is 1 and the power loss coefficient exceeds the average power loss coefficient of the power consumption area, the power consumption area is classified as a first-level regulation area;

[0074] Rule 2: If the category number of the current power consumption area is 0 and the power loss coefficient exceeds the average power loss coefficient of the power consumption area, the power consumption area is classified as a secondary regulation area;

[0075] Rule 3: If the category number of the current power consumption area is 1 and the power loss coefficient is lower than the average power loss coefficient of the power consumption area, the power consumption area is classified as a third-level regulation area;

[0076] Rule 4: If the category number of the current power consumption area is 0 and the power loss coefficient is lower than the average power loss coefficient of the power consumption area, the power consumption area is classified as a fourth-level regulation area.

[0077] It should be noted that the category number of the power consumption area indicates the degree of grid load in the power consumption area. A label of 1 indicates that the higher the grid load in the power consumption area, the more the power consumption area needs energy-saving adjustments. The power loss coefficient of the power consumption area reflects the total energy consumption of different marked equipment in the power consumption area for the entire power consumption area. The higher the power loss coefficient of the power consumption area, the more the power consumption area needs energy-saving adjustments.

[0078] The energy-saving processing module is used to receive the judgment result and energy-saving level input from the energy-saving judgment module to determine the energy-saving sequence rules of each power consumption area as follows:

[0079] When the judgment result of the power consumption area is that energy saving is needed, the power consumption area will be incorporated into the energy-saving data set, and priority energy saving treatment will be performed in the order of the energy-saving level of the power consumption area. When energy-saving treatment is performed on the power consumption area, priority will be given to the order of the first-level adjustment area, the second-level adjustment area, the third-level adjustment area, and the fourth-level adjustment area. For power consumption areas with the same energy-saving level, one power consumption area will be randomly selected for energy-saving adjustment.

[0080] When energy-saving adjustments are made to the power consumption area, the energy-saving adjustment is made to the power consumption area by switching the high power density DC-DC converter in the blade power module to the electric energy conversion efficiency threshold. Targeted energy saving is performed on power consumption areas of different energy-saving levels through the four conversion efficiency thresholds set in advance. For example, the four conversion efficiency thresholds set in advance are 90%, 80%, 70%, and 60%. When the power consumption area is a primary adjustment area, the original electric energy conversion amount is changed to 90%; when the power consumption area is a secondary adjustment area, the original electric energy conversion amount is changed to 80%.

[0081] It should be noted that the blade power module is a modular power supply design, usually with a thin, rectangular shape, which can be quickly plugged in and out and is easy to maintain and upgrade. Through a unified interface and modular layout, the blade power module can be quickly plugged in and out and plug-and-play, supports flexible assembly combinations, and is suitable for rapid installation at "0" sites. Its built-in high-power density DC-DC converter makes it easier to regulate power in the target area. A DC-DC converter is an electronic device that converts one DC voltage into another DC voltage. In this case, it is used for energy-saving adjustments.

[0082] Embodiment 2, a method for quickly deploying a blade power module, such as Figure 2 As shown, the method for implementing the above-mentioned blade power module rapid deployment system includes the following steps:

[0083] Step S1: Divide and screen multiple power consumption areas according to the power consumption distribution in the area, conduct a preliminary assessment of the grid load in the power consumption area, and obtain the recorded information of the powered equipment in the power consumption area;

[0084] Step S2: classify the power consumption area based on the grid load assessment results and the recorded information of the powered equipment in the power consumption area, and set a category number for the power consumption area;

[0085] Step S3: Mark different devices in the power consumption area according to the recorded information of the powered devices, collect the charging time and power-on frequency of all marked devices in the power consumption area, calculate the power loss coefficient of each power consumption area, and determine whether the power consumption area needs energy saving, and set the energy saving level according to the category number and power loss coefficient of the power consumption area;

[0086] Step S4: Screen out the power consumption areas to be processed for energy saving, set an energy saving sequence according to the energy saving levels of the screened power consumption areas, and perform energy saving on the power consumption areas according to the energy saving sequence.

[0087] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0088] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application of the technical solution and the invention constraints. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0089] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0090] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0091] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A blade power module rapid deployment system, characterized in that: It includes a data acquisition module, a load analysis module, an energy-saving judgment module and an energy-saving processing module, and the signal connections between the modules; The data acquisition module conducts a preliminary assessment of the grid load in the power consumption area by connecting to the load analyzer, calls the intelligent monitoring system to obtain the recorded information of the powered equipment in the power consumption area, transmits the grid load assessment results of the power consumption area to the load analysis module, and transmits the recorded information of the powered equipment to the load analysis module and the energy-saving judgment module; The load analysis module is used to receive the grid load assessment results and the recorded information of the powered equipment in the power consumption area, and classify the grid load in the power consumption area using the hierarchical analysis method, set a category number for the power consumption area according to the judgment result, and pass the category number to the energy saving judgment module; The energy-saving judgment module receives the recorded information of the powered devices, marks different devices according to the recorded information of the powered devices, sets the detection time to detect the charging time and power-on frequency of different marked devices, calculates the power loss coefficient of each power consumption area by using the geometric mean algorithm based on the charging time and power-on frequency of all marked devices in the power consumption area, sets the energy-saving level according to the category number and power loss coefficient of the power consumption area, compares the power loss coefficient of the current power consumption area with the preset power loss threshold, determines whether the current power consumption area is subject to energy-saving processing, and transmits the judgment result and energy-saving level to the energy-saving processing module; The energy-saving processing module is used to receive the judgment result and energy-saving level transmitted by the energy-saving judgment module to determine the energy-saving order of each power consumption area and perform energy-saving processing for different power consumption areas by adjusting the blade power supply module; A load analyzer is an instrument used to measure and analyze the performance of electrical loads. It can measure current, voltage, power factor, and active power in real time. An intelligent monitoring system is a system used for real-time data collection, monitoring, and management. It is used to obtain recorded information of energized equipment in the power consumption area.

2. The blade power module rapid deployment system according to claim 1, characterized in that: Before making a preliminary assessment of the grid load in the power consumption area, the data acquisition module installs current monitoring sensors on different circuits to obtain the power distribution in the deployment area, records the current on each circuit, selects the median current on each circuit, selects the circuits with currents above the median current, and divides the area into multiple power consumption areas based on the electrical appliances connected to the different circuits after selection; The current monitoring sensor is a device used to monitor and monitor current in real time. It is used to monitor the current on different circuits to screen the power consumption area.

3. The blade power module rapid deployment system according to claim 1, characterized in that: The load analyzer is used to obtain the grid load analysis value of each power consumption area. The power-on equipment record information includes the number of power-on equipment in the power consumption area and the model of the power-on equipment. The data acquisition module transmits the grid load analysis value and the number of power-on equipment in each power consumption area to the load analysis module, and transmits the model of each power-on equipment in the power consumption area to the energy-saving judgment module; The load analysis module classifies the grid load of each power consumption area by using the analytic hierarchy process based on the grid load analysis value of the power consumption area and the number of powered devices.

4. The blade power module rapid deployment system according to claim 3, characterized in that: In the load analysis module, the grid load analysis value and the number of powered devices in the power consumption area are standardized using the Z-score standardization formula before the grid load classification judgment is made using the hierarchical analysis method; the standardized result of the grid load analysis value of the power consumption area is used as the load coefficient, and the standardized result of the number of powered devices in the power consumption area is used as the equipment coefficient; the power consumption areas are sorted from small to large according to the equipment coefficient, and the load weight is set using the hierarchical analysis method. The specific steps are as follows: Construct a judgment matrix: Construct a judgment matrix to compare the relative importance of each power consumption area; Matrix simplification: Normalize the values ​​of each column of the judgment matrix so that the sum of the values ​​of each column is 1. For each column, calculate the weighted average value as the load weight for the power application area; Calculate the load judgment coefficient: multiply the load weight of each power consumption area by the load coefficient of the corresponding power consumption area, and use the product as the load judgment coefficient of the power consumption area; The average value of the load judgment coefficient of the power consumption area is used as the category judgment threshold. When the load judgment coefficient of the power consumption area exceeds the category judgment threshold, the category label of the power consumption area is set to 1. When the load judgment coefficient of the power consumption area is lower than the category judgment threshold, the category label of the power consumption area is set to 0. Z-score normalization is a data preprocessing technique used to eliminate the dimensional effects between different features.

5. The blade power module rapid deployment system according to claim 3, characterized in that: The energy-saving judgment module receives the models of each powered device in the power consumption area and compares them with the device tags stored in the device management database, marks the powered devices with different device tags differently, selects a period of time as the detection time, and detects the charging time and power-on frequency of the devices with different tags through the data logger; The charging time and power-on frequency of different marked devices in each power consumption area are standardized according to the Z-score standardization formula, and then the power loss coefficient of each power consumption area is calculated using the geometric mean algorithm. The calculation formula of the geometric mean algorithm is: Where c is the power loss coefficient of the power consumption area, a is the result of standardizing the charging time of devices with different markings in the power consumption area, and b is the result of standardizing the power-on frequency of devices with different markings in the power consumption area; The power loss coefficient of each power consumption area is compared with a preset power loss threshold. When the power loss coefficient of the power consumption area exceeds the power loss threshold, it is determined that the power consumption area is adjusted for energy saving; when the power loss coefficient of the power consumption area is lower than the power loss threshold, it is determined that the power consumption area is not adjusted for energy saving; The device management database is a system used to store and manage device information. It classifies and marks powered devices by identifying their models. A data logger is a device used to automatically collect and store data. It is used to record the charging time and power-on frequency of differently marked devices in each power consumption area.

6. The blade power module rapid deployment system according to claim 5, characterized in that: The energy-saving judgment module sets the energy-saving level by formulating the following rules based on the category number of the power consumption area and the power loss coefficient: Rule 1: If the category number of the current power consumption area is 1 and the power loss coefficient exceeds the average power loss coefficient of the power consumption area, the power consumption area is classified as a first-level regulation area; Rule 2: If the category number of the current power consumption area is 0 and the power loss coefficient exceeds the average power loss coefficient of the power consumption area, the power consumption area is classified as a secondary regulation area; Rule 3: If the category number of the current power consumption area is 1 and the power loss coefficient is lower than the average power loss coefficient of the power consumption area, the power consumption area is classified as a third-level regulation area; Rule 4: If the category number of the current power consumption area is 0 and the power loss coefficient is lower than the average power loss coefficient of the power consumption area, the power consumption area is classified as a fourth-level regulation area.

7. A method for rapid deployment of blade power modules according to claim 6, characterized in that: The energy-saving processing module is used to receive the judgment results and energy-saving levels transmitted by the energy-saving judgment module to determine the energy-saving order rules of each power consumption area as follows: When the judgment result of the power consumption area is to make energy-saving adjustments, the power consumption area will be incorporated into the energy-saving data set, and priority energy-saving treatment will be performed in the order of the energy-saving levels of the power consumption areas. When energy-saving treatment is performed on the power consumption areas, priority will be given to the order of the first-level adjustment area, the second-level adjustment area, the third-level adjustment area, and the fourth-level adjustment area. For power consumption areas with the same energy-saving level, one power consumption area will be randomly selected for energy-saving adjustment.

8. The method for rapid deployment of blade power modules according to claim 7, characterized in that: When energy-saving adjustments are made to power consumption areas, the high power density DC-DC converter in the blade power module is switched to adjust the energy conversion efficiency threshold for the power consumption area, and power consumption areas with different energy-saving levels are processed in a targeted manner through the conversion efficiency threshold set in advance; The blade power module is a modular power supply design with a thin or rectangular appearance. It contains a high-power density DC-DC converter. A DC-DC converter is an electronic device that converts one DC voltage into another. It is used to select a pre-set conversion efficiency threshold according to different power consumption areas with different energy-saving levels to make targeted energy-saving adjustments to the power consumption areas.

9. A method for rapid deployment of a blade power module, based on a system for rapid deployment of a blade power module according to any one of claims 1 to 8, characterized in that: The following steps are involved: Step S1: Divide and screen multiple power consumption areas according to the power consumption distribution in the area, conduct a preliminary assessment of the grid load in the power consumption area, and obtain the recorded information of the powered equipment in the power consumption area; Step S2: classify the power consumption area based on the grid load assessment results and the recorded information of the powered equipment in the power consumption area, and set a category number for the power consumption area; Step S3: Mark different devices in the power consumption area according to the recorded information of the powered devices, collect the charging time and power-on frequency of all marked devices in the power consumption area, calculate the power loss coefficient of each power consumption area, and determine whether the power consumption area needs energy saving, and set the energy saving level according to the category number and power loss coefficient of the power consumption area; Step S4: Screen out the power consumption areas to be processed for energy saving, set an energy saving sequence according to the energy saving levels of the screened power consumption areas, and perform energy saving on the power consumption areas according to the energy saving sequence.

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