Intelligent electricity-saving control method and system for electricity utilization in building construction

Abstract

The invention relates to the technical field of power-saving control, and discloses an intelligent power-saving control method and system for building construction power utilization, the system comprises a data acquisition unit, a preprocessing unit, a mode analysis unit and a power-saving control unit, the data acquisition unit obtains multi-dimensional target data, builds a foundation for power utilization analysis, and provides a power-saving control system for building construction. The preprocessing unit is used for denoising voltage and current data by adopting a moving average filtering algorithm, calculating parameters of each acquisition point according to a filtering window, providing accurate data for subsequent work, detecting and correcting abnormal values of the voltage, current and power data, judging through a mean value standard deviation and processing according to a mode, so that the accuracy of a flow is enhanced; the mode analysis unit divides intervals according to a power threshold value, counts the operation time and the proportion of equipment, compares the operation time and the proportion with the threshold value, accurately determines a plurality of power utilization modes, and provides a basis for power saving strategy matching; and the power-saving control unit extracts parameters to generate a signal control device according to a power consumption mode matching strategy, thereby realizing an energy-saving target and scientific management and control.

Description

Technical Field

[0001] The present invention relates to the technical field of power saving control, and in particular to an intelligent power saving control method and system for building construction electricity. Background Art

[0002] In the field of construction, the consumption of power resources has always been an important issue that has attracted much attention. With the continuous expansion of the scale of construction projects and the widespread use of various types of construction equipment, the demand for electricity on construction sites has shown a trend of continuous growth.

[0003] On the one hand, construction sites are usually equipped with a large number of electrical equipment, such as tower cranes, electric welders, concrete mixers, elevators and other large-scale mechanical equipment, as well as lighting equipment, office equipment, etc. These devices are frequently used in different construction stages and work tasks, and their power consumption and operating time vary greatly and are difficult to accurately control. For example, some large equipment may generate a large inrush current at the moment of startup, causing a sharp increase in power consumption in a short period of time; while some small equipment may be in standby mode during construction breaks, but still consume a certain amount of electricity. Traditional power management methods are often extensive, lacking accurate monitoring and analysis of the power consumption details of these equipment, making it difficult to achieve effective energy-saving control.

[0004] On the other hand, the construction environment is complex and changeable, and there are many factors that may affect the stable operation of the power system and the accuracy of power consumption data. For example, the electromagnetic interference at the construction site is relatively strong, which will cause the collected voltage, current and other data to be mixed with noise signals, resulting in data distortion. At the same time, due to equipment failures, line aging or improper human operation that may occur during the construction process, it may also cause abnormal fluctuations in power consumption data, such as sudden voltage rises and falls, current overloads, etc. If these abnormal data are not processed, it will not only affect the judgment of the actual operating status of the power equipment, but may also lead to the implementation of incorrect power-saving strategies and fail to achieve the expected energy-saving effect.

[0005] In summary, the traditional construction electricity management model has exposed obvious limitations in the face of the growing demand for energy conservation and the complex construction electricity environment. Therefore, there is an urgent need for an intelligent power-saving control method and system that can accurately collect power consumption data, effectively handle data anomalies, carefully analyze power consumption patterns, and match power-saving strategies in a targeted manner, so as to improve the management level and energy efficiency of construction electricity, reduce construction costs, and reduce the impact on the environment. Summary of the invention

[0006] The purpose of the present invention is to provide an intelligent power-saving control method and system for building construction electricity, which solves the technical problems raised in the background technology.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] Intelligent power saving control method and system for building construction electricity, including:

[0009] Step 1: Data Collection

[0010] Install corresponding sensors at the distribution boxes and various electrical equipment at the construction site, and then obtain target data through the corresponding sensors:

[0011] Step 2: Data Preprocessing

[0012] Preprocess the acquired target data, including denoising and outlier detection and correction;

[0013] Step 3: Power consumption pattern analysis

[0014] First, multiple power intervals are divided according to the pre-set power threshold, then the running time of each power-consuming device in different power intervals is counted and marked, and then the proportion of the corresponding running time of each power-consuming device in different power intervals in the specified period is calculated, and finally the proportion is compared with multiple pre-set proportion thresholds, and different power consumption modes of each power-consuming device are determined according to the comparison results;

[0015] Step 4: Power saving strategy matching

[0016] According to the power consumption mode identified by the power-consuming equipment, the corresponding preset power saving strategy is matched;

[0017] Step 5: Strategy Execution Control

[0018] From the corresponding power-saving strategy, the pre-set control parameters are extracted, and then a control signal is generated according to the control parameters. The control signal is then sent to the corresponding relay or intelligent switch to perform power-saving control operations on the electrical equipment.

[0019] As a further solution of the present invention: the target data includes:

[0020] Voltage data collected continuously at specified time intervals within a specified period by a voltage sensor;

[0021] Current data collected continuously at specified time intervals within a specified period by a current sensor;

[0022] The operating status data of the electrical equipment is represented by binary code and marked as S t When the running state of the electrical equipment is stopped, it is represented by the number "0", that is, S t =0, when the operating state of the electrical equipment is in the operating state, it is represented by the number "1", that is, S t =1;

[0023] and power data at each acquisition time point obtained by corresponding the voltage data and current data at each acquisition time point;

[0024] Among them, power data is used to reflect the power consumption at each collection time point. The power data is calculated according to the formula: P t =V t ×L t Calculated;

[0025] Where V t represents the voltage parameter obtained at the tth acquisition time point in the voltage data, L t represents the current parameter obtained at the tth acquisition time point in the current data, P t It represents the power parameter obtained at the t-th acquisition time point in the power data, t=1, 2, ... e, e represents the number of consecutive acquisition time points, and e=T0 / TJ, where T0 refers to the duration of the specified cycle and TJ refers to the specified time interval.

[0026] As a further solution of the present invention: wherein the voltage data and the current data are collected synchronously.

[0027] As a further solution of the present invention: the denoising method is to use a moving average filtering algorithm to denoise the collected voltage data and current data, and the specific method is as follows:

[0028] Select a collection time point and record it as k, and k∈t,

[0029] Then, according to the preset filter window size, the voltage parameter and current parameter at the acquisition time point are filtered, and the filtering method is as follows:

[0030] The preset filter window size is marked as m, and the first m voltage parameters and current parameters collected at the acquisition time node k and before it are obtained and recorded as V i and L i , i is the index variable when summing, and i = k-m+1, ... k, k-m+1 refers to the position of the data point pushed forward at the acquisition time node k;

[0031] Then through:

[0032]

[0033] Calculate the voltage parameter V1 after filtering at the kth acquisition time point k and current parameter L1 k .

[0034] As a further solution of the present invention: the outlier detection correction method is as follows:

[0035] Extract the voltage data, current data and power data collected within a specified period;

[0036] Then the means and standard deviations of all voltage parameters are calculated and marked as VJ and VB, respectively, and the means and standard deviations of all current parameters and the means and standard deviations of all power parameters are calculated and marked as LJ, LB, PJ and PB, respectively;

[0037] Then, each voltage parameter V t Combine the corresponding mean and standard deviation to make an abnormal judgment, and combine the abnormal value judgment results to extract the abnormal voltage parameters for correction;

[0038] At the same time, each current parameter L t Combine the corresponding mean and standard deviation to make an abnormal judgment, and combine the abnormal value judgment results to extract the abnormal current parameters for correction;

[0039] And each power parameter P t The abnormality is determined in combination with the corresponding mean and standard deviation, and the corresponding power parameters are corrected by the corrected voltage parameters and the corrected current parameters.

[0040] As a further solution of the present invention: the voltage parameter abnormality determination correction method is as follows:

[0041]

[0042] Where V0 t is the corrected voltage parameter, |V t -VJ|>3×VB, indicating the corresponding V t Abnormal value, |V t -VJ|≤3×VB, indicating the corresponding V t The value is normal, V t-1 and V t+1 Indicates V t Corresponding to two voltage parameters at adjacent acquisition time points, if means if;

[0043] The current parameter abnormality judgment and correction method is as follows:

[0044]

[0045] Where L0 t is the corrected current parameter, |L t -LJ|>3×LB, indicating the corresponding L t Abnormal value, |L t -LJ|≤3×LB, indicating the corresponding L tThe value is normal, L t-1 and L t+1 Indicates L t Two current parameters at adjacent acquisition time points corresponding to the acquisition time point;

[0046] The abnormal judgment correction method is as follows:

[0047]

[0048] Where P0 t is the corrected power parameter, |P t -PJ|>3×PB, indicating that the corresponding P t Abnormal value, |P t -PJ|≤3×PB, indicating the corresponding L t The value is normal.

[0049] As a further solution of the present invention: the power consumption mode analysis method is as follows:

[0050] Step U1, dividing a plurality of power intervals according to a preset power threshold;

[0051] Step U2: Count the running time of each electrical device in different power ranges and mark it as W z，x , x represents the serial index of multiple power intervals, z = 1, 2, ... m, m represents the number of electrical equipment;

[0052] Step U3, by:

[0053]

[0054] Calculate the proportion R of each electrical device's corresponding operating time in different power ranges in the specified period T0 z，x ;

[0055] Then R z，x and multiple preset ratio thresholds R y1 , R y2 ,……R yc A comparison is performed, and c types of power usage modes of each power-consuming device are determined according to the comparison result, where c represents the number of proportion thresholds and also represents the number of categories of the power usage mode.

[0056] As a further solution of the present invention: in step U1, the power intervals are divided as follows:

[0057] Extract two pre-set power thresholds P y1 and P y2 , and then divide the low power interval, medium power interval, and high power interval according to the two power thresholds;

[0058] Among them, Py1 <P y2 , and the low power interval is P q1 =[0,P y1 ), the medium power range is P q2 =[P y1 , P y2 ), high power interval is P q3 =[P y2 , +∞], where +∞ represents the symbol for positive infinity.

[0059] As a further solution of the present invention: in step U2, the running time is calculated as follows:

[0060] Each power interval is marked as P qx , x=1, 2, 3;

[0061] At the same time, the power parameters of each electrical device at different time nodes are extracted and marked as P t，z ;

[0062] The operating status values ​​of each electrical device at different time nodes are also extracted and marked as S t，z ;

[0063] Then through:

[0064]

[0065] Calculate the operating time W of each electrical equipment in different power ranges z，x ;

[0066] Where TJ is the time interval between two adjacent time nodes, if means if, and means and, otherwise means otherwise.

[0067] An intelligent power-saving control system for construction electricity, the system is used to implement the intelligent power-saving control method for construction electricity, and the system comprises:

[0068] The data acquisition unit is used to obtain target data from the distribution box and various electrical equipment at the construction site:

[0069] A preprocessing unit, used to preprocess the acquired target data, the preprocessing including denoising and outlier detection and correction;

[0070] A mode analysis unit is used to divide a plurality of power intervals according to a preset power threshold, then count the operating time of each electrical device in different power intervals and mark them, then calculate the proportion of the corresponding operating time of each electrical device in different power intervals in a specified period, finally compare the proportion with a plurality of preset proportion thresholds, and determine different power consumption modes of each electrical device according to the comparison result;

[0071] The power-saving control unit is used to match the corresponding preset power-saving strategy according to the power consumption mode corresponding to the power-consuming equipment, and extract the pre-set control parameters from the corresponding power-saving strategy, and then generate a control signal based on the control parameters, and then send the control signal to the corresponding relay or intelligent switch to perform power-saving control operations on the power-consuming equipment.

[0072] Beneficial effects of the present invention:

[0073] Accurate electricity management and energy-saving effects: Sensors are installed at the distribution boxes and various electrical equipment at the construction site through the data acquisition unit to obtain multi-dimensional target data, including voltage, current, power, and operating status data of electrical equipment, etc., which provides a basis for subsequent comprehensive and accurate electricity analysis. Based on these data, corresponding electricity consumption pattern analysis, power saving strategy matching and strategy execution control can be implemented to achieve intelligent power saving management of construction electricity, which helps to reduce electricity consumption at the construction site and improve energy utilization efficiency.

[0074] De-noising advantages: The pre-processing unit uses a moving average filtering algorithm to perform denoising on the collected voltage and current data, which can effectively remove the noise interference mixed in during the data collection process. In specific operations, based on the pre-set filter window size, the voltage and current parameters at each collection time point are filtered and calculated, so that subsequent work such as power consumption pattern analysis based on these data can be based on purer and more accurate data, avoiding analysis errors caused by noise data.

[0075] Abnormal value correction function: At the same time, abnormal value detection and correction are performed on voltage, current and power data. By calculating the mean and standard deviation of each data type, the data is judged as abnormal, and the abnormal value is processed according to the corresponding correction method. For example, for voltage parameters, reasonable corrections are made based on the deviation from the mean and the parameters of adjacent acquisition time points to ensure the accuracy and reliability of various types of data, further improve the accuracy of the entire power consumption and power saving control process, and prevent abnormal data from affecting the judgment of power consumption mode and the effective matching of power saving strategies.

[0076] Refined power consumption mode analysis: The mode analysis unit divides multiple power intervals such as low power interval, medium power interval, and high power interval according to the pre-set power threshold, and then carefully counts the operating time of each power-consuming device in different power intervals, and further calculates its proportion in the specified period, and finally compares it with multiple proportion thresholds to determine different types of power consumption modes such as intermittent low-power power consumption mode and continuous low-power power consumption mode. This refined analysis method can more accurately grasp the power consumption characteristics of each power-consuming device, lay a solid foundation for the subsequent matching of targeted power-saving strategies, make power-saving measures more in line with actual power consumption, and improve power-saving effects.

[0077] Targeted implementation of power-saving strategies: The power-saving control unit can match the corresponding preset power-saving strategies according to the different power consumption modes identified by the power-consuming equipment, such as adopting a timed power-off strategy or a power factor correction strategy for a specific power consumption mode, and extract the pre-set control parameters from the corresponding strategy to generate a control signal, and perform power-saving control operations on the power-consuming equipment through relays or intelligent switches. This method of matching the corresponding strategy and executing control according to the power consumption mode can implement the most appropriate power-saving means for different power-consuming equipment in a targeted manner, achieve energy-saving goals to the greatest extent, and ensure scientific, reasonable and efficient control of electricity consumption in construction.

[0078] In summary, the present invention has made a scientific and reasonable design for the entire process from data collection and preprocessing, power consumption pattern analysis to power saving strategy implementation, which is helpful to improve the intelligence level of construction power consumption management and the energy-saving effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] The present invention will be further described below in conjunction with the accompanying drawings.

[0080] Figure 1 It is a system block diagram of the intelligent power-saving control system for building construction electricity of the present invention.

[0081] Figure 2 It is a flow chart of the intelligent power-saving control method for building construction electricity of the present invention. DETAILED DESCRIPTION

[0082] 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.

[0083] Embodiment 1

[0084] See also Figure 1 and Figure 2As shown, the present invention is an intelligent power saving control method and system for building construction electricity, comprising:

[0085] Step 1: Data Collection

[0086] First, install corresponding sensors at the distribution boxes and various electrical equipment at the construction site, and then obtain target data through the corresponding sensors:

[0087] Target data includes:

[0088] Voltage data collected continuously at specified time intervals within a specified period by a voltage sensor;

[0089] Current data collected continuously at specified time intervals within a specified period by a current sensor;

[0090] Among them, voltage data and current data are collected synchronously;

[0091] The operating status data of the electrical equipment is represented by binary code and marked as S t When the running state of the electrical equipment is stopped, it is represented by the number "0", that is, S t =0, when the operating state of the electrical equipment is in the operating state, it is represented by the number "1", that is, S t =1;

[0092] and power data at each acquisition time point obtained by corresponding the voltage data and current data at each acquisition time point;

[0093] Among them, power data is used to reflect the power consumption at each collection time point. The power data is calculated according to the formula: P t =V t ×L t Calculated;

[0094] Where V t represents the voltage parameter obtained at the tth acquisition time point in the voltage data, L t represents the current parameter obtained at the tth acquisition time point in the current data, P t represents the power parameter obtained at the t-th acquisition time point in the power data, t=1, 2, ..., e, e represents the number of consecutive acquisition time points, and e=T0 / TJ, where T0 refers to the duration of the specified cycle and TJ refers to the specified time interval;

[0095] Step 2: Power usage pattern analysis

[0096] Step U1, dividing a plurality of power intervals according to a preset power threshold;

[0097] The method is as follows:

[0098] Extract two pre-set power thresholds P y1 and P y2 , and then divide the low power interval, medium power interval, and high power interval according to the two power thresholds;

[0099] Among them, P y1 <P y2 , and the low power interval is P q1 =[0,P y1 ), the medium power range is P q2 =[P y1 , P y2 ), high power interval is P q3 =[P y2 , +∞], where +∞ represents the symbol of positive infinity;

[0100] Step U2: Count the operating time of each electrical device in different power ranges;

[0101] The method is as follows:

[0102] Each power interval is marked as P qx , x=1, 2, 3;

[0103] At the same time, the power parameters of each electrical device at different time nodes are extracted and marked as P t，z , z = 1, 2, ... m, m represents the number of electrical equipment;

[0104] The operating status values ​​of each electrical device at different time nodes are also extracted and marked as S t，z ;

[0105] Then through:

[0106]

[0107] Calculate the operating time W of each electrical equipment in different power ranges z，x ;

[0108] Where TJ is the time interval between two adjacent time nodes, if means if, and means and, otherwise means otherwise;

[0109] Step U3, by:

[0110]

[0111] Calculate the proportion R of each electrical device's corresponding operating time in different power ranges in the specified period T0 z，x ;

[0112] Then R z，xand multiple preset ratio thresholds R y1 , R y2 ,……R yc Comparison is performed, and according to the comparison result, c types of power consumption modes of each power-consuming device are determined, where c represents the number of proportion thresholds, and also represents the number of categories of power consumption modes;

[0113] In this embodiment, the various types of power consumption modes include intermittent low power consumption mode, continuous low power consumption mode, intermittent medium power consumption mode, continuous medium power consumption mode, intermittent high power consumption mode and continuous high power consumption mode;

[0114] For example:

[0115] If an electrical device is in the low power range P q1 The running time percentage R y1 <R z，1 ≤R y2 When the power consumption equipment is in the medium power range P q2 The running time percentage R z，2 <R y1 , and the power consumption equipment is in the high power range P q3 The running time percentage R z，1 <R y1 At the same time, its operating time distribution is intermittent. The intermittency is determined by analyzing the operating time series, specifically calculating the standard deviation of the time intervals corresponding to adjacent operating time periods. When the standard deviation is greater than the corresponding preset threshold, it is determined that its operating time distribution is intermittent, and the electrical equipment is determined to be in an intermittent low-power power consumption mode;

[0116] If an electrical device is in the medium power range P q2 The running time percentage R y2 <R z，2 ≤R y3 When the power consumption equipment is in the low power range P q1 The running time percentage R z，2 <R y2 , and the power consumption equipment is in the high power range P q3 The running time percentage R z，3 <R y2 At the same time, its operating time distribution presents continuity. The continuity is determined by analyzing the operating time series, specifically by calculating the standard deviation of the time intervals corresponding to adjacent operating time periods. When the standard deviation is less than or equal to the corresponding preset threshold, it is determined that its operating time distribution presents continuity, and it is determined that the electrical equipment is in a continuous medium power consumption mode.

[0117] In this embodiment, by analogy, the power-consuming devices corresponding to the continuous low-power power consumption mode, the intermittent medium-power power consumption mode, the intermittent high-power power consumption mode, and the continuous high-power power consumption mode can also be determined;

[0118] Step 3: Power saving strategy matching

[0119] According to the power consumption mode identified by the power-consuming equipment, the corresponding preset power saving strategy is matched;

[0120] In this embodiment, the power saving strategy includes a timed power-off strategy and a power factor correction strategy. The timed power-off strategy is used to match the power-consuming equipment in the intermittent low-power mode; the power factor correction strategy is used to match the power-consuming equipment in the continuous medium-power mode.

[0121] Step 4: Policy execution control

[0122] Extract the preset control parameters from the corresponding power-saving strategy, generate control signals based on the control parameters, and then send the control signals to the corresponding relays or intelligent switches to perform power-saving control operations on the electrical equipment, thus realizing intelligent power-saving management of construction electricity consumption;

[0123] For example:

[0124] The pre-set control parameters in the timed power-off strategy include:

[0125] The power-off time interval and duration are set according to the average operating time interval and cumulative operating time of the electrical equipment in the low-power range;

[0126] It is determined as follows:

[0127]

[0128] In the formula, DT is the power-off time interval, DCT is the power-off duration, γ is the preset weight coefficient, and YT is the time interval between two consecutive low-power operation of the electrical equipment;

[0129] The control parameters pre-set in the power factor correction strategy include: capacitance value;

[0130] It selects appropriate capacitors according to the capacitance value to connect to the circuit for power factor correction;

[0131] Extract the active power and reactive power of the electrical equipment and mark them as YP and WP respectively;

[0132] Then through:

[0133]

[0134] Calculate the apparent power SP of the electrical equipment;

[0135] Then pass:

[0136]

[0137] Calculate the detection power factor of electrical equipment

[0138] Then extract the preset target power factor The grid frequency λ and the voltage RMS VY, where:

[0139] Then through:

[0140] Calculate the power factor correction capacitor value C0.

[0141] This embodiment collects multiple target data, including voltage, current, power, and running status data of electrical equipment, by installing sensors at the distribution box and each electrical equipment at the construction site, and then performs power consumption mode analysis, determines the power consumption mode of the electrical equipment according to different power intervals and operating time proportions, and then matches the corresponding power saving strategy, and finally executes control to realize intelligent power saving management of construction electricity, which is helpful to reasonably control power consumption and reduce energy consumption. It can divide multiple power intervals according to the set power threshold, and make detailed statistics on the operating time and proportion of each electrical equipment in different power intervals. Combined with the intermittent and continuous analysis of the operating time series, it can more accurately distinguish various types of power consumption modes such as intermittent low-power power consumption mode and continuous low-power power consumption mode, so that the subsequent power saving strategy matching is more targeted; for different power consumption modes, the corresponding power saving strategy is matched, such as the timed power-off strategy for intermittent low-power mode electrical equipment, the power factor correction strategy for continuous medium-power mode electrical equipment, etc., and the diversified strategies can achieve the purpose of power saving from different angles.

[0142] Embodiment 2

[0143] As the second embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the technical solution of the present embodiment is different from the first embodiment only in that the present embodiment further includes a data preprocessing step after the data collection step:

[0144] The specific method is as follows:

[0145] Step F1: Denoising

[0146] The collected voltage and current data are denoised using a moving average filtering algorithm;

[0147] The specific method is as follows:

[0148] Select a collection time point and record it as k, and k∈t,

[0149] Then, according to the preset filter window size, the voltage parameter and current parameter at the acquisition time point are filtered, and the filtering method is as follows:

[0150] The preset filter window size is marked as m, and the first m voltage parameters and current parameters collected at the acquisition time node k and before it are obtained and recorded as V i and L i , i is the index variable when summing, and i = k-m+1, ... k, k-m+1 refers to the position of the data point pushed forward at the acquisition time node k;

[0151] Then through:

[0152]

[0153] Calculate the voltage parameter V1 after filtering at the kth acquisition time point k and current parameter L1 k ;

[0154] Step F2: Outlier detection and correction

[0155] Extract the voltage data, current data and power data collected within a specified period;

[0156] Then the means and standard deviations of all voltage parameters are calculated and marked as VJ and VB, respectively, and the means and standard deviations of all current parameters and the means and standard deviations of all power parameters are calculated and marked as LJ, LB, PJ and PB, respectively;

[0157] Then, each voltage parameter V t Combine the corresponding mean and standard deviation to make an abnormal judgment, and combine the abnormal value judgment results to extract the abnormal voltage parameters for correction;

[0158] The abnormal judgment correction method is as follows:

[0159]

[0160] Where V0 t is the corrected voltage parameter, |V t -VJ|>3×VB, indicating the corresponding V t Abnormal value, |V t -VJ|≤3×VB, indicating the corresponding V t The value is normal, V t-1 and V t+1 Indicates V tCorresponding to two voltage parameters at adjacent acquisition time points, if means if;

[0161] At the same time, each current parameter L t Combine the corresponding mean and standard deviation to make an abnormal judgment, and combine the abnormal value judgment results to extract the abnormal current parameters for correction;

[0162] The abnormal judgment correction method is as follows:

[0163]

[0164] Where L0 t is the corrected current parameter, |L t -LJ|>3×LB, indicating the corresponding L t Abnormal value, |L t -LJ|≤3×LB, indicating the corresponding L t Normal value, L t-1 and L t+1 Indicates L t Two current parameters at adjacent acquisition time points corresponding to the acquisition time point;

[0165] And each power parameter P t An abnormality determination is performed in combination with the corresponding mean and standard deviation, and the corresponding power parameters are corrected by the corrected voltage parameters and the corrected current parameters;

[0166] The abnormal judgment correction method is as follows:

[0167]

[0168] Where P0 t is the corrected power parameter, |P t -PJ|>3×PB, indicating the corresponding P t Abnormal value, |P t -PJ|≤3×PB, indicating the corresponding L t The value is normal.

[0169] This embodiment adds a data preprocessing step after the data collection step of the first embodiment. First, a moving average filtering algorithm is used to denoise the collected voltage data and current data, which can reduce noise interference in the data and make subsequent analysis based on these data more accurate and reliable; by performing outlier detection and correction on the voltage, current and power data, it is determined whether the data is abnormal based on their respective means and standard deviations and corresponding corrections are made, thereby avoiding the adverse effects of abnormal data on power consumption pattern analysis, power saving strategy matching and other links, and further improving the accuracy of the entire intelligent power saving control process.

[0170] Embodiment 3

[0171] As the third embodiment of the present invention, when the present application is specifically implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments mentioned above for implementation.

[0172] This embodiment combines the solutions of embodiment one and embodiment two for implementation, which can not only realize the full process operation of intelligent energy-saving management of construction electricity consumption, including accurate analysis of electricity consumption patterns and matching of energy-saving strategies, but also use data preprocessing to ensure data quality and correct abnormal data, giving full play to the advantages of the first two embodiments, so that the entire intelligent energy-saving control system for construction electricity consumption can achieve a better level in terms of accuracy, reliability and energy-saving effect.

[0173] See also Figure 1 and Figure 2 As shown, the present invention also provides an intelligent power-saving control system for construction electricity, which is used to implement an intelligent power-saving control method for construction electricity. The system includes:

[0174] The data acquisition unit is used to obtain target data from the distribution box and various electrical equipment at the construction site:

[0175] A preprocessing unit, used to preprocess the acquired target data, the preprocessing including denoising and outlier detection and correction;

[0176] A mode analysis unit is used to divide a plurality of power intervals according to a preset power threshold, then count the operating time of each electrical device in different power intervals and mark them, then calculate the proportion of the corresponding operating time of each electrical device in different power intervals in a specified period, finally compare the proportion with a plurality of preset proportion thresholds, and determine different power consumption modes of each electrical device according to the comparison result;

[0177] The power-saving control unit is used to match the corresponding preset power-saving strategy according to the power consumption mode corresponding to the power-consuming equipment, and extract the pre-set control parameters from the corresponding power-saving strategy, and then generate a control signal based on the control parameters, and then send the control signal to the corresponding relay or intelligent switch to perform power-saving control operations on the power-consuming equipment.

[0178] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0179] 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.

Claims

1. An intelligent power saving control method for construction electricity, characterized in that: include: Step 1: Data Collection Obtain target data of the distribution box and each electrical equipment at the construction site, including: operating status data, voltage data, current data, and power data of the electrical equipment; Step 2: Data Preprocessing Preprocess the acquired target data, including denoising and outlier detection and correction; Step 3: Power consumption pattern analysis First, multiple power intervals are divided according to the pre-set power threshold, then the running time of each power-consuming device in different power intervals is counted and marked, and then the proportion of the corresponding running time of each power-consuming device in different power intervals in the specified period is calculated, and finally the proportion is compared with multiple pre-set proportion thresholds, and different power consumption modes of each power-consuming device are determined according to the comparison results; Step 4: Power saving strategy matching According to the power consumption mode identified by the power-consuming equipment, the corresponding preset power saving strategy is matched; Step 5: Strategy Execution Control From the corresponding power-saving strategy, the pre-set control parameters are extracted, and then a control signal is generated according to the control parameters. The control signal is then sent to the corresponding relay or intelligent switch to perform power-saving control operations on the electrical equipment.

2. The intelligent power saving control method for construction electricity according to claim 1 is characterized in that: The denoising method is to use the moving average filtering algorithm to denoise the collected voltage data and current data. The specific method is as follows: Select a collection time point and record it as k, and k∈t, Then, according to the preset filter window size, the voltage parameter and current parameter at the acquisition time point are filtered, and the filtering method is as follows: The preset filter window size is marked as m, and the first m voltage parameters and current parameters collected at the acquisition time node k and before it are obtained and recorded as V i and L i , i is the index variable when summing, and i = k-m+1, ... k, k-m+1 refers to the position of the data point pushed forward at the acquisition time node k; Then through: Calculate the voltage parameter V1 after filtering at the kth acquisition time point k and current parameter L1 k .

3. The intelligent power saving control method for construction electricity according to claim 1 is characterized in that: The outlier detection correction method is as follows: Extract the voltage data, current data and power data collected within a specified period; Then the means and standard deviations of all voltage parameters are calculated and marked as VJ and VB, respectively, and the means and standard deviations of all current parameters and the means and standard deviations of all power parameters are calculated and marked as LJ, LB, PJ and PB, respectively; Then, each voltage parameter V t Combine the corresponding mean and standard deviation to make an abnormal judgment, and combine the abnormal value judgment results to extract the abnormal voltage parameters for correction; At the same time, each current parameter L t Combine the corresponding mean and standard deviation to make an abnormal judgment, and combine the abnormal value judgment results to extract the abnormal current parameters for correction; And each power parameter P t The abnormality is determined in combination with the corresponding mean and standard deviation, and the corresponding power parameters are corrected by the corrected voltage parameters and the corrected current parameters.

4. The intelligent power saving control method for construction electricity according to claim 3 is characterized in that: The voltage parameter abnormality judgment and correction method is as follows: Where V0 t is the corrected voltage parameter, |V t -VJ|>3×VB, indicating the corresponding V t Abnormal value, |V t -VJ|≤3×VB, indicating the corresponding V t The value is normal, V t-1 and V t+1 Indicates V t Two voltage parameters at adjacent acquisition time points corresponding to the acquisition time point; The current parameter abnormality judgment and correction method is as follows: Where L0 t is the corrected current parameter, |L t -LJ|>3×LB, indicating the corresponding L t Abnormal value, |L t -LJ|≤3×LB, indicating the corresponding L t Normal value, L t-1 and L t+1 Indicates L t Two current parameters at adjacent acquisition time points corresponding to the acquisition time point; The abnormal judgment correction method is as follows: Where P0 t is the corrected power parameter, |P t -PJ|>3×PB, indicating the corresponding P t Abnormal value, |P t -PJ|≤3×PB, indicating the corresponding L t The value is normal.

5. The intelligent power saving control method for construction electricity according to claim 1 is characterized in that: The power consumption pattern analysis method is as follows: Step U1, dividing a plurality of power intervals according to a preset power threshold; Step U2: Count the running time of each electrical device in different power ranges and mark it as W z，x , x represents the serial index of multiple power intervals, z = 1, 2, ... m, m represents the number of electrical equipment; Step U3, by: Calculate the proportion R of each electrical device's corresponding operating time in different power ranges in the specified period T0 z，x ; Then R z，x and multiple preset ratio thresholds R y1 , R y2 ,……R yc A comparison is performed, and c types of power usage modes of each power-consuming device are determined according to the comparison result, where c represents the number of proportion thresholds and also represents the number of categories of the power usage mode.

6. The intelligent power saving control method for construction electricity according to claim 5 is characterized in that: In step U1, the power intervals are divided as follows: Extract two pre-set power thresholds P y1 and P y2 , and then divide the low power interval, medium power interval, and high power interval according to the two power thresholds; Among them, P y1 <P y2 , and the low power interval is P q1 =[0,P y1 ), the medium power range is P q2 =[P y1 , P y2 ), high power interval is P q3 =[P y2 , +∞].

7. The intelligent power saving control method for construction electricity according to claim 5 is characterized in that: In step U2, the running time is calculated as follows: Each power interval is marked as P qx , x=1, 2, 3; At the same time, the power parameters of each electrical device at different time nodes are extracted and marked as P t，z ; The operating status values ​​of each electrical device at different time nodes are also extracted and marked as S t，z ; Then through: Calculate the operating time W of each electrical equipment in different power ranges z，x ; Where TJ is the time interval between two adjacent time nodes.

8. The intelligent power saving control method for construction electricity according to claim 1 is characterized in that: in: Voltage data is collected continuously at specified time intervals within a specified period by a voltage sensor; The current data is collected continuously at specified time intervals within a specified period by a current sensor; The operating status data of the electrical equipment is represented by binary code and marked as S t When the running state of the electrical equipment is stopped, it is represented by the number "0", that is, S t =0, when the operating state of the electrical equipment is in the operating state, it is represented by the number "1", that is, S t =1; The power data is obtained by corresponding the voltage data and current data at each acquisition time point; Among them, the power data is based on the formula: P t =V t ×L t Calculated; Where V t represents the voltage parameter obtained at the tth acquisition time point in the voltage data, L t represents the current parameter obtained at the tth acquisition time point in the current data, P t It represents the power parameter obtained at the t-th acquisition time point in the power data, t=1, 2, ... e, e represents the number of consecutive acquisition time points, and e=T0 / TJ, where T0 refers to the duration of the specified cycle and TJ refers to the specified time interval.

9. The intelligent power saving control method for construction electricity according to claim 8 is characterized in that: in, Voltage data and current data are collected synchronously.

10. An intelligent power-saving control system for construction electricity, the system being used to implement the intelligent power-saving control method for construction electricity according to any one of claims 1 to 9, characterized in that: The system includes: The data acquisition unit is used to obtain target data from the distribution box and various electrical equipment at the construction site: A preprocessing unit, used to preprocess the acquired target data, the preprocessing including denoising and outlier detection and correction; A mode analysis unit is used to divide a plurality of power intervals according to a preset power threshold, then count the operating time of each electrical device in different power intervals and mark them, then calculate the proportion of the corresponding operating time of each electrical device in different power intervals in a specified period, finally compare the proportion with a plurality of preset proportion thresholds, and determine different power consumption modes of each electrical device according to the comparison result; The power-saving control unit is used to match the corresponding preset power-saving strategy according to the power consumption mode corresponding to the power-consuming equipment, and extract the pre-set control parameters from the corresponding power-saving strategy, and then generate a control signal based on the control parameters, and then send the control signal to the corresponding relay or intelligent switch to perform power-saving control operations on the power-consuming equipment.

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