A method and system for optimizing and controlling energy monitoring in the Internet of Things

Abstract

The present invention discloses an Internet of Things energy monitoring optimization control method and system, and relates to the technical field of energy monitoring; the present invention includes energy optimization and energy compensation, and the energy optimization includes the following steps: the equipment in the production module is classified according to the production method, the collection terminal obtains the load parameters of the equipment under each category and transmits them to the analysis unit, the analysis unit classifies and records the load of each device according to the load energy consumption of each device on the basis of the classification, the analysis unit saves the recorded information in the classification module, and the analysis unit counts the energy consumption information of each device in the production module. The present invention can perform refined energy management on each link of the enterprise production by classifying all the equipment in the production module, analyze the power quality and use the energy storage module for compensation, so as to improve the power quality of the equipment during production and reduce the impact of poor power quality on production.

Description

Technical Field

[0001] The present invention relates to the field of energy monitoring technology, and in particular to an Internet of Things energy monitoring optimization management and control method and system. Background Art

[0002] Energy optimization and control is one of the key links in the production and operation of enterprises. Depending on the production scale and process, the electricity demand of enterprises varies. A stable power supply ensures the normal operation of production equipment and maintains the continuous production capacity of enterprises. In order to maintain better operation and production of enterprises, it is necessary to arrange the opening and closing of equipment according to the production plan to avoid unnecessary energy waste, regularly maintain electrical equipment to ensure its efficient operation, reduce failures and power loss, and use advanced systems to monitor and analyze power consumption for better management and optimization. In addition, the quality of electric energy will directly affect the production quality of products. If the voltage fluctuates greatly or there is a voltage drop, it may cause abnormal shutdown of the enterprise's production equipment, thereby affecting the continuity of production, resulting in product quality defects or even waste. Unstable frequency may cause some frequency-sensitive equipment to operate abnormally, affecting its processing accuracy, etc., and thus affecting product quality.

[0003] At present, the electricity consumption of enterprises in production and operation mainly depends on the centralized and unified control of the power grid, and the optimization of energy management is not in place. Therefore, there are two main problems: 1. The energy utilization efficiency of enterprises themselves is not high, and there is a lack of refined energy management in all aspects of production, resulting in waste of production resources; 2. Enterprises lack emergency plans to deal with poor energy quality and cannot avoid the impact of power quality on production processes. Therefore, how to optimize energy management and reduce the impact of energy quality on product quality is a technical problem that technical personnel in this field need to solve. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides an Internet of Things energy monitoring optimization and control method and system, which solves the problems raised in the above background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an IoT energy monitoring optimization and control method, including energy optimization and energy compensation, wherein energy optimization includes the following steps:

[0006] Step 1: Load classification: Classify the equipment in the production module according to the production method. The acquisition terminal obtains the load parameters of the equipment in each category and transmits them to the analysis unit. The analysis unit classifies and records the load of each equipment according to the load energy consumption of each equipment on the basis of classification. The analysis unit saves the recorded information to the classification module.

[0007] Step 2: Establish an energy consumption model. The analysis unit collects the energy consumption information of each device in the production module. The analysis unit reads the production process from the planning module and establishes an energy consumption model based on the energy consumption information of each device.

[0008] Step 3: Energy consumption prediction. The analysis unit obtains the production task of each device in the production module from the planning module. The analysis unit calculates the operating time of each device according to the production task of each device. The analysis unit predicts the energy consumption based on the energy consumption information and operating time of each device.

[0009] Step 4: Energy coordination: the analysis unit obtains the output power information of the photovoltaic module and the power information of the energy storage module from the energy storage module, performs economic analysis on the output power information of the photovoltaic module and the power information of the energy storage module, and executes the energy supply mode of the production module according to the economic analysis result;

[0010] Step 5: Loss warning: the collection terminal collects the power consumption information of each device in the production module in real time and transmits it to the analysis unit through the wireless module. The analysis unit compares the power consumption information of each device with the energy consumption model and the predicted energy consumption. When the power consumption information of the device exceeds the preset threshold, the warning information is pushed to the production personnel;

[0011] Energy compensation includes the following steps:

[0012] Step 6: Power quality analysis: the acquisition terminal obtains the parameter information of the mains power supply connected to the production module and transmits it to the analysis unit through the wireless module. The analysis unit analyzes and evaluates the power quality based on the parameter information of the mains power supply. If the power quality of the mains power supply is lower than the minimum requirement of the equipment, the analysis unit performs energy storage compensation according to the power demand of each device in the production module.

[0013] Step 7: Energy storage compensation: the analysis unit combines the energy consumption information of each device in the production module, the connected city power supply parameter information and the remaining power information of the energy storage module, and sends the energy storage compensation instruction to the energy storage module. The energy storage module inputs the compensation energy to the production module according to the received energy storage compensation instruction;

[0014] The input end of the energy storage module is connected to the photovoltaic module. The analysis unit can directly obtain the output power of the photovoltaic module from the energy storage module. The number of collection terminals corresponds to each device in the production module one by one. The collection port of the collection terminal is connected to the mains power supply access point of the equipment. The analysis unit obtains the total mains power supply parameter information of the production module by summarizing the mains power supply access parameter information obtained by all collection terminals.

[0015] Furthermore, load classification specifically includes the following steps:

[0016] Step 101: The acquisition terminal obtains the instantaneous current I, instantaneous voltage V and current-voltage phase difference θ of each device in the production module at m time points and transmits them to the analysis unit. The analysis unit calculates the instantaneous load power consumption of each device when it is running at m time points according to the formula P=I×V×cos(θ) and records the power consumption matrix in chronological order. The analysis unit converts the power consumption matrix P mn Temporarily stored in the grading module;

[0017] Step 102: The analysis unit calculates the average load power consumption of each device in the production module and records it as The analysis unit is based on the formula Calculate the power consumption fluctuation value of each device at m time points, and average all power consumption fluctuation values ​​of a single device to obtain the power consumption fluctuation rate of each device μ = [μ1, μ2, μ3, … μ n ], the analysis unit temporarily stores the power consumption fluctuation rate μ in the classification module;

[0018] Step 103: The analysis unit calculates the average load power consumption of all devices The devices are sorted in descending order, and the analysis unit calculates the average load power consumption of each device according to the order. Quantify and assign values, average load power consumption The largest device is assigned a value of 1, the next highest device is assigned a value of 2, and so on, until the average load power consumption is reached. The smallest device is assigned a value of n. The analysis unit sorts the power consumption fluctuation rates μ of all devices in ascending order. The analysis unit quantifies and assigns a value to the power consumption fluctuation rate μ of each device according to the sorting. The device with the smallest power consumption fluctuation rate μ is assigned a value of n. The next ranked value is assigned a value of n-1, and so on, until the device with the largest power consumption fluctuation rate μ is assigned a value of 1.

[0019] Step 104: The analysis unit compares the power consumption fluctuation rate μ and the average load power consumption of each device after the value is assigned Add them together to get the evaluation value S, the formula is: The analysis unit grades the evaluation value of each device in the production module. When the evaluation value S is greater than or equal to 1.6n, the device is marked as excellent; when the evaluation value S is greater than 1.2n and less than 1.6n, the device is marked as good; when the evaluation value S is less than or equal to 1.2n, the device is marked as average;

[0020] Step 105: The analysis unit saves the evaluation value classification results into the classification module.

[0021] Furthermore, the energy consumption model is a digital twin model corresponding to the production module. The energy consumption model is composed of a number of simulated devices associated through the production process. The number of simulated devices corresponds one-to-one to the number of devices in the production module. The load parameters of the simulated devices in the energy consumption model correspond one-to-one to the load parameters of the devices in the production module.

[0022] Energy consumption forecasting specifically includes the following steps:

[0023] Step 301: The analysis unit retrieves the production task of the next production cycle of each device in the production module in the planning module, compares the current production task of each device with the production task of the next cycle, and calculates the required running time of each simulated device in the production task energy consumption model of the next production cycle;

[0024] Step 302: The analysis unit calculates the energy consumption of each simulated device in the next production cycle according to the load parameters and operation time of each simulated device. The analysis unit sums the energy consumption statistics of all simulated devices in the energy consumption model to obtain the predicted value of the energy consumption of the energy consumption model in the next production cycle.

[0025] Energy coordination specifically includes the following steps:

[0026] The analysis unit obtains the electricity price information of the city power supply, and performs energy dispatch according to the electricity price information. The analysis unit divides the electricity price information into three stages: high price, low price and balance;

[0027] In the high price stage, the analysis unit sends power supply instructions to the photovoltaic module and the energy storage module respectively. The photovoltaic module and the energy storage module jointly supply power to the production module. If the output power of the photovoltaic module is lower than the average load power consumption marked as general equipment Total power: the analysis unit controls the photovoltaic module to stop supplying power. If the power of the energy storage module itself is less than 20% of the total capacity, the analysis unit controls the energy storage module to stop supplying power. When both the photovoltaic module and the energy storage module stop supplying power, the analysis unit controls each device in the production module to connect to the city power supply.

[0028] In the low-price stage, the analysis unit controls each device in the production module to connect to the mains power supply. The analysis unit sends energy storage instructions to the energy storage module. The energy storage module connects to the mains power supply from the production module for charging. The analysis unit controls the photovoltaic module to supply power to the production module. If the output power of the photovoltaic module is higher than the average load power consumption marked as general equipment Total power, the photovoltaic module transmits the excess energy to the energy storage module. When the energy storage module's own power exceeds 80% of the total capacity, the analysis unit controls the energy storage module to stop charging, and the photovoltaic module then supplies power to the production module;

[0029] During the balancing phase, the analysis unit controls the photovoltaic module to supply power to the production module. If the output power of the photovoltaic module is higher than the average load power consumption marked as general equipment Total power, the photovoltaic module will transfer the excess energy to the energy storage module until the energy storage module's own power exceeds 80%, and then stop. If the photovoltaic module output power is lower than the average load power consumption of the device marked as good Total power, the analysis unit controls the energy storage module to supply power to the production module until the energy storage module's own power is less than 20% and stops supplying power, and the analysis unit controls the production module to connect to the city power supply;

[0030] The analysis unit itself has networking function. The analysis unit obtains the electricity price information corresponding to the current time and each time period through the network. When the electricity price is the lowest, it is in the low price stage. When the electricity price is the highest, it is in the high price stage. After excluding the high price stage and the low price stage, the remaining stages are all equilibrium stages.

[0031] Furthermore, the loss warning specifically includes the following steps:

[0032] For devices marked as general, the analysis unit calculates the real-time load power consumption and average load power consumption of each device The difference ratio Q1, the upper threshold limit of the difference ratio Q1 is 20%, the analysis unit calculates the real-time power consumption fluctuation of each device and the power consumption fluctuation rate μ difference ratio Q2, the upper threshold limit of the difference ratio Q2 is 15%, the difference ratio Q1 or the difference ratio Q2 exceeds the upper threshold limit, the analysis unit pushes the warning information to the production personnel;

[0033] For devices marked as good, the analysis unit calculates the real-time load power consumption and average load power consumption of each device Difference ratio Q3, the upper limit of the difference ratio Q3 threshold is 15%, the analysis unit calculates the real-time power consumption fluctuation of each device and the power consumption fluctuation rate μ difference ratio Q4, the upper limit of the difference ratio Q4 threshold is 10%, the difference ratio Q3 or the difference ratio Q4 exceeds the upper limit of the threshold, the analysis unit pushes the warning information to the production personnel;

[0034] For devices marked as excellent, the analysis unit calculates the real-time load power consumption and average load power consumption of each device The difference ratio Q5, the upper threshold limit of the difference ratio Q5 is five percent. The analysis unit calculates the real-time power consumption fluctuation of each device and the power consumption fluctuation rate μ difference ratio Q6. The upper threshold limit of the difference ratio Q6 is three percent. The difference ratio Q5 and the difference ratio Q6 both exceed the upper threshold limit. The analysis unit pushes warning information to production personnel.

[0035] Furthermore, the energy storage compensation specifically includes the following steps:

[0036] Optimize voltage. When the city power supply voltage fluctuates by more than ±5%, the analysis unit controls the energy storage module to provide reactive power to the production module, reducing the reactive current flowing between the equipment in the production module, thereby improving the power factor and the voltage quality. The analysis unit controls the voltage fluctuation of the equipment marked as general within ±5%, and controls the voltage fluctuation of the equipment marked as good and excellent within ±4%;

[0037] Optimize frequency. A rate charge and discharge module is set inside the energy storage module. When the mains power supply frequency fluctuates by more than ±0.1Hz, the analysis unit controls the rate charge and discharge module in the energy storage module to release or absorb electric energy to the production module, so that the mains power supply frequency fluctuation of all equipment in the production module is controlled within ±0.1Hz.

[0038] To optimize harmonics, when the analysis unit finds through the acquisition terminal that there is harmonic current at the mains power supply access port of the equipment marked as excellent in the production module, the analysis unit controls the harmonic filter in the energy storage module to absorb the harmonic current.

[0039] An Internet of Things energy monitoring, optimization and control system comprises an analysis unit, a photovoltaic module, an energy storage module, a production module, a grading module, a planning module, a recording module, a wireless module and n collection terminals, wherein the number of collection terminals corresponds to the number of all devices in the production module, each collection terminal is connected to each device one-to-one to obtain parameter information, the collection terminal obtains energy consumption information of each electronic component in the production module, the energy storage module transmits its own power information and the output power of the photovoltaic module to the analysis unit, the collection terminal transmits all the acquired energy consumption information to the analysis unit through the wireless module, the collection terminal obtains the power, voltage, frequency and harmonic wave information of the mains, the collection terminal transmits the acquired mains power, voltage, frequency and harmonic wave information to the analysis unit through the wireless module, the analysis unit sends instructions to the photovoltaic module, the photovoltaic module transmits energy to the energy storage module and the production module respectively according to the received instructions, the analysis unit sends instructions to the energy storage module, the energy storage module transmits energy to the production module, and the input end of the production module is also connected to the mains power supply;

[0040] The energy storage module has integrated harmonic filters and rate charge and discharge modules. Both the harmonic filters and rate charge and discharge modules are connected to the mains power supply inlet of the production module. The harmonic filter is used to absorb harmonic currents, and the rate charge and discharge module is used to absorb and release electrical energy in the production module when the frequency fluctuates.

[0041] Furthermore, the recording module is used to store the analysis data and recording information of the analysis unit, and the recording module also stores a computer program or instruction for the analysis unit to execute. When the computer program or instruction is executed, the method of the above content is implemented. Furthermore, the classification module and the planning module both establish data connection with the analysis unit, the classification module is used to save the load classification of each device in the production module, and the planning module is used to record the production tasks and production processes of each device in the production module. The production tasks and production processes are manually input into the planning module by the production personnel.

[0042] The present invention has the following beneficial effects:

[0043] 1. By classifying all equipment in the production module, establishing an energy consumption model to predict energy demand, and using photovoltaic modules and energy storage modules to coordinate energy compensation, it is possible to carry out refined energy management in all aspects of the company's production and improve the energy utilization efficiency and economy of production.

[0044] 2. By setting a loss warning, production personnel can be reminded to respond in time. The analysis unit analyzes the power quality through the acquisition terminal and uses the energy storage module for compensation, which can improve the power quality during equipment production and reduce the impact of poor power quality on production.

[0045] Of course, any product implementing the present invention does not necessarily need to achieve all of the above advantages at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work. Figure 1 This is a block diagram of an Internet of Things energy monitoring, optimization and control system of the present invention. DETAILED DESCRIPTION

[0047] 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.

[0048] See also Figure 1 The present invention provides a technical solution: an Internet of Things energy monitoring optimization and control method, including energy optimization and energy compensation, and energy optimization includes the following steps:

[0049] Step 1: Load classification: Classify the equipment in the production module according to the production method. The acquisition terminal obtains the load parameters of the equipment in each category and transmits them to the analysis unit. The analysis unit classifies and records the load of each equipment according to the load energy consumption of each equipment on the basis of classification. The analysis unit saves the recorded information to the classification module.

[0050] Step 2: Establish an energy consumption model. The analysis unit collects the energy consumption information of each device in the production module. The analysis unit reads the production process from the planning module and establishes an energy consumption model based on the energy consumption information of each device.

[0051] Step 3: Energy consumption prediction. The analysis unit obtains the production task of each device in the production module from the planning module. The analysis unit calculates the operating time of each device according to the production task of each device. The analysis unit predicts the energy consumption based on the energy consumption information and operating time of each device.

[0052] Step 4: Energy coordination: the analysis unit obtains the output power information of the photovoltaic module and the power information of the energy storage module from the energy storage module, performs economic analysis on the output power information of the photovoltaic module and the power information of the energy storage module, and executes the energy supply mode of the production module according to the economic analysis result;

[0053] Step 5: Loss warning: the collection terminal collects the power consumption information of each device in the production module in real time and transmits it to the analysis unit through the wireless module. The analysis unit compares the power consumption information of each device with the energy consumption model and the predicted energy consumption. When the power consumption information of the device exceeds the preset threshold, the warning information is pushed to the production personnel;

[0054] Energy compensation includes the following steps:

[0055] Step 6: Power quality analysis: the acquisition terminal obtains the parameter information of the mains power supply connected to the production module and transmits it to the analysis unit through the wireless module. The analysis unit analyzes and evaluates the power quality based on the parameter information of the mains power supply. If the power quality of the mains power supply is lower than the minimum requirement of the equipment, the analysis unit performs energy storage compensation according to the power demand of each device in the production module.

[0056] Step 7: Energy storage compensation: the analysis unit combines the energy consumption information of each device in the production module, the connected city power supply parameter information and the remaining power information of the energy storage module, and sends the energy storage compensation instruction to the energy storage module. The energy storage module inputs the compensation energy to the production module according to the received energy storage compensation instruction;

[0057] The input end of the energy storage module is connected to the photovoltaic module. The analysis unit can directly obtain the output power of the photovoltaic module from the energy storage module. The number of collection terminals corresponds to each device in the production module one by one. The collection port of the collection terminal is connected to the mains power supply access point of the equipment. The analysis unit obtains the total mains power supply parameter information of the production module by summarizing the mains power supply access parameter information obtained by all collection terminals.

[0058] The load classification specifically includes the following steps:

[0059] Step 101: The acquisition terminal obtains the instantaneous current I, instantaneous voltage V and current-voltage phase difference θ of each device in the production module at m time points and transmits them to the analysis unit. The analysis unit calculates the instantaneous load power consumption of each device when it is running at m time points according to the formula P=I×V×cos(θ) and records the power consumption matrix in chronological order. The analysis unit converts the power consumption matrix P mn Temporarily stored in the grading module;

[0060] Step 102: The analysis unit calculates the average load power consumption of each device in the production module and records it as The analysis unit is based on the formula Calculate the power consumption fluctuation value of each device at m time points, and average all power consumption fluctuation values ​​of a single device to obtain the power consumption fluctuation rate of each device μ = [μ1, μ2, μ3, … μ n ], the analysis unit temporarily stores the power consumption fluctuation rate μ in the classification module;

[0061] Step 103: The analysis unit calculates the average load power consumption of all devices The devices are sorted in descending order, and the analysis unit calculates the average load power consumption of each device according to the order. Quantify and assign values, average load power consumption The largest device is assigned a value of 1, the next highest device is assigned a value of 2, and so on, until the average load power consumption is reached. The smallest device is assigned a value of n. The analysis unit sorts the power consumption fluctuation rates μ of all devices in ascending order. The analysis unit quantifies and assigns a value to the power consumption fluctuation rate μ of each device according to the sorting. The device with the smallest power consumption fluctuation rate μ is assigned a value of n. The next ranked value is assigned a value of n-1, and so on, until the device with the largest power consumption fluctuation rate μ is assigned a value of 1.

[0062] Step 104: The analysis unit compares the power consumption fluctuation rate μ and the average load power consumption of each device after the value is assigned Add them together to get the evaluation value S, the formula is: The analysis unit grades the evaluation value of each device in the production module. When the evaluation value S is greater than or equal to 1.6n, the device is marked as excellent; when the evaluation value S is greater than 1.2n and less than 1.6n, the device is marked as good; when the evaluation value S is less than or equal to 1.2n, the device is marked as average;

[0063] Step 105: The analysis unit saves the evaluation value classification results into the classification module.

[0064] Among them, the energy consumption model is the digital twin model corresponding to the production module. The energy consumption model is composed of several simulated devices connected by the production process. The number of simulated devices corresponds to the number of devices in the production module one by one. The load parameters of the simulated devices in the energy consumption model correspond to the load parameters of the devices in the production module one by one.

[0065] Energy consumption forecasting specifically includes the following steps:

[0066] Step 301: The analysis unit retrieves the production task of the next production cycle of each device in the production module in the planning module, compares the current production task of each device with the production task of the next cycle, and calculates the required running time of each simulated device in the production task energy consumption model of the next production cycle;

[0067] Supplementary explanation: The production cycle is based on the startup and shutdown of the equipment. The production time between startup and shutdown is one production cycle.

[0068] Step 302: The analysis unit calculates the energy consumption of each simulated device in the next production cycle according to the load parameters and operation time of each simulated device. The analysis unit sums the energy consumption statistics of all simulated devices in the energy consumption model to obtain the predicted value of the energy consumption of the energy consumption model in the next production cycle.

[0069] Energy coordination specifically includes the following steps:

[0070] The analysis unit obtains the electricity price information of the city power supply, and performs energy dispatch according to the electricity price information. The analysis unit divides the electricity price information into three stages: high price, low price and balance;

[0071] In the high price stage, the analysis unit sends power supply instructions to the photovoltaic module and the energy storage module respectively. The photovoltaic module and the energy storage module jointly supply power to the production module. If the output power of the photovoltaic module is lower than the average load power consumption marked as general equipment Total power: the analysis unit controls the photovoltaic module to stop supplying power. If the power of the energy storage module itself is less than 20% of the total capacity, the analysis unit controls the energy storage module to stop supplying power. When both the photovoltaic module and the energy storage module stop supplying power, the analysis unit controls each device in the production module to connect to the city power supply.

[0072] In the low-price stage, the analysis unit controls each device in the production module to connect to the mains power supply. The analysis unit sends energy storage instructions to the energy storage module. The energy storage module connects to the mains power supply from the production module for charging. The analysis unit controls the photovoltaic module to supply power to the production module. If the output power of the photovoltaic module is higher than the average load power consumption marked as general equipment Total power, the photovoltaic module transmits the excess energy to the energy storage module. When the energy storage module's own power exceeds 80% of the total capacity, the analysis unit controls the energy storage module to stop charging, and the photovoltaic module then supplies power to the production module;

[0073] During the balancing phase, the analysis unit controls the photovoltaic module to supply power to the production module. If the output power of the photovoltaic module is higher than the average load power consumption marked as general equipment Total power, the photovoltaic module will transfer the excess energy to the energy storage module until the energy storage module's own power exceeds 80%, and then stop. If the photovoltaic module output power is lower than the average load power consumption of the device marked as good Total power, the analysis unit controls the energy storage module to supply power to the production module until the energy storage module's own power is less than 20% and stops supplying power, and the analysis unit controls the production module to connect to the city power supply;

[0074] The analysis unit itself has networking function. The analysis unit obtains the electricity price information corresponding to the current time and each time period through the network. When the electricity price is the lowest, it is in the low price stage. When the electricity price is the highest, it is in the high price stage. After excluding the high price stage and the low price stage, the remaining stages are all equilibrium stages.

[0075] Among them, the loss warning specifically includes the following steps:

[0076] For devices marked as general, the analysis unit calculates the real-time load power consumption and average load power consumption of each device The difference ratio Q1, the upper threshold limit of the difference ratio Q1 is 20%, the analysis unit calculates the real-time power consumption fluctuation of each device and the power consumption fluctuation rate μ difference ratio Q2, the upper threshold limit of the difference ratio Q2 is 15%, the difference ratio Q1 or the difference ratio Q2 exceeds the upper threshold limit, the analysis unit pushes the warning information to the production personnel;

[0077] For devices marked as good, the analysis unit calculates the real-time load power consumption and average load power consumption of each device Difference ratio Q3, the upper limit of the difference ratio Q3 threshold is 15%, the analysis unit calculates the real-time power consumption fluctuation of each device and the power consumption fluctuation rate μ difference ratio Q4, the upper limit of the difference ratio Q4 threshold is 10%, the difference ratio Q3 or the difference ratio Q4 exceeds the upper limit of the threshold, the analysis unit pushes the warning information to the production personnel;

[0078] For devices marked as excellent, the analysis unit calculates the real-time load power consumption and average load power consumption of each device The difference ratio Q5, the upper threshold limit of the difference ratio Q5 is five percent. The analysis unit calculates the real-time power consumption fluctuation of each device and the power consumption fluctuation rate μ difference ratio Q6. The upper threshold limit of the difference ratio Q6 is three percent. The difference ratio Q5 and the difference ratio Q6 both exceed the upper threshold limit. The analysis unit pushes warning information to production personnel.

[0079] Among them, energy storage compensation specifically includes the following steps:

[0080] Optimize voltage. When the city power supply voltage fluctuates by more than ±5%, the analysis unit controls the energy storage module to provide reactive power to the production module, reducing the reactive current flowing between the equipment in the production module, thereby improving the power factor and the voltage quality. The analysis unit controls the voltage fluctuation of the equipment marked as general within ±5%, and controls the voltage fluctuation of the equipment marked as good and excellent within ±4%;

[0081] Optimize frequency. A rate charge and discharge module is set inside the energy storage module. When the mains power supply frequency fluctuates by more than ±0.1Hz, the analysis unit controls the rate charge and discharge module in the energy storage module to release or absorb electric energy to the production module, so that the mains power supply frequency fluctuation of all equipment in the production module is controlled within ±0.1Hz.

[0082] The rate charge and discharge module is a high-rate charge and discharge lithium battery. High-rate charge and discharge can release and absorb a large amount of electrical energy in a short time.

[0083] To optimize harmonics, when the analysis unit finds through the acquisition terminal that there is harmonic current at the mains power supply access port of the equipment marked as excellent in the production module, the analysis unit controls the harmonic filter in the energy storage module to absorb the harmonic current.

[0084] An Internet of Things energy monitoring, optimization and control system comprises an analysis unit, a photovoltaic module, an energy storage module, a production module, a grading module, a planning module, a recording module, a wireless module and n collection terminals, wherein the number of collection terminals corresponds to the number of all devices in the production module, each collection terminal is connected to each device one-to-one to obtain parameter information, the collection terminal obtains energy consumption information of each electronic component in the production module, the energy storage module transmits its own power information and the output power of the photovoltaic module to the analysis unit, the collection terminal transmits all the acquired energy consumption information to the analysis unit through the wireless module, the collection terminal obtains the power, voltage, frequency and harmonic wave information of the mains, the collection terminal transmits the acquired mains power, voltage, frequency and harmonic wave information to the analysis unit through the wireless module, the analysis unit sends instructions to the photovoltaic module, the photovoltaic module transmits energy to the energy storage module and the production module respectively according to the received instructions, the analysis unit sends instructions to the energy storage module, the energy storage module transmits energy to the production module, and the input end of the production module is also connected to the mains power supply;

[0085] The photovoltaic module is a photovoltaic power source composed of an existing photovoltaic cell array and a photovoltaic inverter, and the energy storage module is an existing lithium battery module. Any device on the market that can meet the system function requirements can be used, and the specific model is not limited here;

[0086] The energy storage module has integrated harmonic filters and rate charge and discharge modules. Both the harmonic filters and rate charge and discharge modules are connected to the mains power supply inlet of the production module. The harmonic filter is used to absorb harmonic currents, and the rate charge and discharge module is used to absorb and release electrical energy in the production module when the frequency fluctuates.

[0087] Among them, the recording module is a storage medium for storing the analysis data and recording information of the analysis unit. The recording module also stores a computer program or instruction for execution by the analysis unit. When the computer program or instruction is executed, the method in the above embodiment is implemented.

[0088] Among them, the grading module and the planning module both establish data connections with the analysis unit. The grading module and the planning module are both storage media. The grading module is used to save the load classification of each device in the production module, and the planning module is used to record the production tasks and production processes of each device in the production module. The production tasks and production processes are manually input into the planning module by production personnel.

[0089] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and inventive concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An IoT energy monitoring and optimization management method, characterized in that: It includes energy optimization and energy compensation, and the energy optimization includes the following steps: Step 1: Load classification: Classify the equipment in the production module according to the production method. The acquisition terminal obtains the load parameters of the equipment in each category and transmits them to the analysis unit. The analysis unit classifies and records the load of each equipment according to the load energy consumption of each equipment on the basis of classification. The analysis unit saves the recorded information to the classification module. Step 2: Establish an energy consumption model, collect statistics on the energy consumption information of each device in the production module, read the production process from the planning module and establish an energy consumption model based on the energy consumption information of each device; Step 3: Energy consumption prediction: obtain the production tasks of each device in the production module from the planning module, calculate the operating time of each device, and predict the energy consumption; Step 4: Energy coordination, obtaining the output power information of the photovoltaic module and the power information of the energy storage module, conducting economic analysis, and executing the energy supply method of the production module; Step 5: Loss warning: the collection terminal collects the power consumption information of each device in the production module in real time and transmits it to the analysis unit through the wireless module. The analysis unit compares the power consumption information of each device with the energy consumption model and the predicted energy consumption. When the power consumption information of the device exceeds the preset threshold, the warning information is pushed; The energy compensation comprises the following steps: Step 6: Power quality analysis: the acquisition terminal obtains the parameter information of the mains power supply connected to the production module and transmits it to the analysis unit through the wireless module. The analysis unit analyzes and evaluates the power quality based on the parameter information of the mains power supply. If the power quality of the mains power supply is lower than the minimum requirement of the equipment, energy storage compensation is performed according to the power demand of each device in the production module. Step 7: Energy storage compensation, combining the energy consumption information of each device in the production module, the connected city power supply parameter information and the remaining power information of the energy storage module, sending the energy storage compensation instruction to the energy storage module, and the energy storage module inputs the compensation energy to the production module according to the received energy storage compensation instruction; The load classification specifically includes the following steps: Step 101: The acquisition terminal obtains the instantaneous current of each device in the production module at m time points , instantaneous voltage The current and voltage phase difference And transmitted to the analysis unit, according to the formula Calculate the instantaneous load power consumption of each device when it is running at m time points and record the power consumption matrix in chronological order , the power consumption matrix Temporarily stored in the record module; Step 102: Calculate the average load power consumption of each device in the production module and record it as , according to the formula Calculate the power consumption fluctuation value of each device at m time points, and average all power consumption fluctuation values ​​of a single device to obtain the power consumption fluctuation rate of each device , the power consumption fluctuation rate Temporarily stored in the record module; Step 103: Average load power consumption of all devices Sort by size, and calculate the average load power consumption of each device according to the sorting. Quantify the power consumption fluctuation rate of all devices Sort in ascending order, and calculate the power consumption fluctuation rate of each device according to the order Perform quantitative assignment; Step 104: Assign the power consumption fluctuation rate of each device With average load power consumption Add them together to get the evaluation value S, the formula is: , the evaluation value of each device in the production module is graded. When the evaluation value S is greater than or equal to 1.6n, the device is marked as excellent; when the evaluation value S is greater than 1.2n and less than 1.6n, the device is marked as good; when the evaluation value S is less than or equal to 1.2n, the device is marked as average; Step 105: Save the evaluation value grading results into the grading module.

2. The method for optimizing and controlling energy monitoring in the Internet of Things according to claim 1 is characterized in that: The energy consumption model is a digital twin model corresponding to the production module, which is composed of several simulated devices connected by the production process. The number of simulated devices corresponds to the number of devices in the production module one by one, and the load parameters of the simulated devices in the energy consumption model correspond to the load parameters of the devices in the production module one by one. The energy consumption prediction specifically includes the following steps: Step 301: The analysis unit retrieves the production task of the next production cycle of each device in the production module in the planning module, compares the current production task of each device with the production task of the next cycle, and calculates the required operating time of each simulated device in the production task energy consumption model of the next production cycle; Step 302: Calculate the energy consumption of each simulated device in the next production cycle according to the load parameters and operation time of each simulated device, and sum the energy consumption statistics of all simulated devices in the energy consumption model to obtain the predicted value of the energy consumption of the energy consumption model in the next production cycle; The energy coordination specifically includes the following steps: The analysis unit obtains the electricity price information of the city power supply, and performs energy dispatch according to the electricity price information. The analysis unit divides the electricity price information into three stages: high price, low price and balance; In the high price stage, power supply instructions are sent to the photovoltaic module and the energy storage module respectively. The photovoltaic module and the energy storage module jointly supply power to the production module. If the output power of the photovoltaic module is lower than the average load power consumption marked as general equipment Total power, the photovoltaic module stops supplying power. If the power of the energy storage module itself is lower than the minimum preset value, the energy storage module stops supplying power. When both the photovoltaic module and the energy storage module stop supplying power, each device in the production module is connected to the city power supply; In the low-price stage, the analysis unit controls each device in the production module to access the city power supply, sends energy storage instructions to the energy storage module, and the energy storage module accesses the city power supply from the production module for charging. The photovoltaic module supplies power to the production module. If the output power of the photovoltaic module is higher than the average load power consumption marked as general equipment Total power, the photovoltaic module transmits the excess energy to the energy storage module. When the energy storage module's own power exceeds the preset maximum value of the total capacity, the energy storage module stops charging, and the photovoltaic module then supplies power to the production module; During the balancing phase, the photovoltaic module supplies power to the production module. If the output power of the photovoltaic module is higher than the average load power consumption marked as general equipment Total power, the photovoltaic module will transfer the excess energy to the energy storage module until the energy storage module's own power exceeds the preset maximum value. If the photovoltaic module output power is lower than the average load power consumption of the device marked as good The energy storage module supplies power to the production module until the power of the energy storage module itself is lower than the preset minimum value and stops supplying power. The analysis unit controls the production module to access the city power supply.

3. The method for optimizing and controlling energy monitoring in the Internet of Things according to claim 1 is characterized in that: The loss warning specifically includes the following steps: For devices marked as general, the analysis unit calculates the real-time load power consumption and average load power consumption of each device Difference Ratio , the analysis unit calculates the real-time power consumption fluctuation and power consumption fluctuation rate of each device Difference Ratio , the difference ratio or Difference Ratio If the upper threshold is exceeded, a warning message will be pushed; For devices marked as good, the analysis unit calculates the real-time load power consumption and average load power consumption of each device Difference Ratio , the analysis unit calculates the real-time power consumption fluctuation and power consumption fluctuation rate of each device Difference Ratio , the difference ratio or Difference Ratio If the upper threshold is exceeded, a warning message will be pushed; For devices marked as excellent, the analysis unit calculates the real-time load power consumption and average load power consumption of each device Difference Ratio , the analysis unit calculates the real-time power consumption fluctuation and power consumption fluctuation rate of each device Difference Ratio , the difference ratio And the difference ratio If both exceed the upper threshold, a warning message will be pushed.

4. The method for optimizing and controlling energy monitoring in the Internet of Things according to claim 1 is characterized in that: The energy storage compensation specifically includes the following steps: Optimize voltage. When the city power supply voltage fluctuates beyond the preset voltage range, the energy storage module provides reactive power to the production module to reduce the reactive current flowing between the devices in the production module, control the voltage fluctuation of the equipment marked as general within the normal voltage range, and control the voltage fluctuation of the equipment marked as good and excellent within the good voltage range; Optimize frequency. A rate charge and discharge module is set inside the energy storage module. When the frequency fluctuation of the mains power supply exceeds the frequency threshold, the rate charge and discharge module in the energy storage module releases or absorbs electric energy to the production module, and controls the frequency fluctuation of the mains power supply to all equipment in the production module within ±0.1Hz. Optimizing harmonics: When the analysis unit finds through the acquisition terminal that there is harmonic current at the mains power supply inlet of the equipment marked as excellent in the production module, the harmonic filter in the energy storage module absorbs the harmonic current.

5. An IoT energy monitoring, optimization and control system, characterized in that: It includes an analysis unit, a photovoltaic module, an energy storage module, a production module, a grading module, a planning module, a recording module, a wireless module and several collection terminals. The collection terminal obtains the energy consumption information of each electronic component in the production module. The energy storage module transmits its own power information and the output power of the photovoltaic module to the analysis unit. The collection terminal transmits all the acquired energy consumption information to the analysis unit through the wireless module. The collection terminal obtains the power, voltage, frequency and harmonic wave information of the mains and transmits it to the analysis unit. The analysis unit sends instructions to the photovoltaic module. The photovoltaic module transmits energy to the energy storage module and the production module respectively according to the instructions. The analysis unit sends instructions to the energy storage module. The energy storage module transmits energy to the production module. The input end of the production module is also connected to the mains power supply. The energy storage module is internally integrated with a harmonic filter and a rate charge and discharge module, both of which are connected to the mains power supply access port of the production module. The harmonic filter is used to absorb harmonic currents, and the rate charge and discharge module is used to absorb and release electrical energy in the production module when the frequency fluctuates. The recording module is used to store the analysis data and recording information of the analysis unit. The recording module also stores a computer program or instruction for execution by the analysis unit. When the computer program or instruction is executed, the method according to any one of claims 1 to 4 is implemented.

6. The IoT energy monitoring, optimization and control system according to claim 5 is characterized in that: The grading module and the planning module both establish data connections with the analysis unit. The grading module is used to save the load grading of each device in the production module, and the planning module is used to record the production tasks and production processes of each device in the production module.

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