CN-122027699-A - Enterprise energy-carbon cooperative control method, system and storage medium

CN122027699ACN 122027699 ACN122027699 ACN 122027699ACN-122027699-A

Abstract

The application discloses an enterprise energy-carbon cooperative control method, an enterprise energy-carbon cooperative control system and a storage medium. The sensing end performs high dynamic range acquisition and compression on electric equipment signals through a dual-channel acquisition circuit configured with a mutual quality folding modulus, decides data transmission time and priority based on state timeliness indexes, the communication module combines and transmits multiple types of data on the same physical channel by adopting a power domain superposition technology according to the priority, the analysis end demodulates and restores the signals by utilizing a serial interference elimination technology, performs white box analysis and judgment through a deterministic mathematical tool sequence to generate equipment saturation state judgment and standardized adjustment increment instructions, and the execution end analyzes and executes the instructions to realize the amplitude limiting isolation of saturated equipment and the cooperative power distribution of unsaturated equipment. The application realizes millisecond deterministic response of key control instructions through intelligent communication scheduling while ensuring high dynamic signal fidelity acquisition, and solves the problem that precision, instantaneity and reliability are difficult to be compatible in industrial energy carbon management.

Inventors

CHEN SHUYANG
Meng Kaiqing
LI JIE
Zou Tangchun
Pi Jiefu

Assignees

浙江研思信息科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260211

Claims (10)

1. The utility model provides an enterprise energy carbon cooperative control method is applied to energy carbon management system, energy carbon management system is used for carrying out energy carbon control and coordinated control to the consumer to including perception end, analysis end, execution end and communication module, characterized by that, the method includes following steps: S1, the sensing end performs residual sampling on a voltage or current analog signal of the electric equipment through a double-channel acquisition circuit configured with a mutual-quality folding modulus, calculates the inter-channel difference, and generates a low-bandwidth compressed data packet; S2, the sensing end decides the time and the sending priority of sending the compressed data packet to the analysis end based on the state timeliness index of the electric equipment corresponding to the compressed data packet; s3, the analysis end acquires signals which are transmitted by superposition of a power domain, demodulates and acquires the compressed data packet by utilizing a serial interference elimination technology, and then recovers the compressed data packet into voltage or current signals by utilizing the mutual quality folding modulus; S4, invoking a preset mathematical tool sequence, carrying out distribution drift detection and statistical significance verification on the restored signals, comprehensively analyzing signal characteristics to judge whether electric equipment enters a saturated state, calculating standardized power adjustment increment required by a system, and generating a control instruction containing a saturated state judgment result and adjustment increment information; And S5, the execution end receives and executes the control instruction, performs output limiting and logic isolation on the corresponding equipment according to the saturated state judgment result in the instruction, and coordinates other equipment to perform power distribution according to the adjustment increment information in the instruction.
2. The method according to claim 1, wherein the step S1 comprises: Configuring a first sampling channel and a second sampling channel, wherein the quantization thresholds of the first sampling channel and the second sampling channel are respectively a first folding modulus and a second folding modulus which are prime numbers, when the amplitude of an input signal exceeds the folding modulus of the channel where the input signal is located, calculating the remainder obtained by dividing the instantaneous value of the input signal by the folding modulus, and taking the remainder as the output of the channel; Calculating a normalized differential value of the remainder of the first sampling channel and the remainder of the second sampling channel at the same moment, and generating a differential index representing the amplitude period of the original signal; And carrying out analog-to-digital conversion on the remainder of the first sampling channel to obtain basic data, and attaching the differential index to the basic data to form the compressed data packet.
3. The method according to claim 1, wherein the step S2 of deciding the timing and the transmission priority of the compressed data packet to the analysis end includes: according to a preset Markov state model, calculating the probability of keeping the state unchanged at the current moment based on historical state data of electric equipment associated with the compressed data packet; when the probability is lower than a preset confidence threshold, the decision is immediately sent and marked as high priority, otherwise, the decision is marked as low priority and periodic sending opportunities are waited for.
4. The method according to claim 1, wherein "the communication module combines and transmits the data packets with different priorities on the same physical channel by the power domain superposition technique according to the transmission priority" in the step S2 includes: The communication module receives a data packet which comes from a sensing end and carries a priority mark; configuring a first transmitting power for the data packet marked as high priority, and configuring a second transmitting power lower than the first transmitting power for the data packet marked as low priority; and linearly superposing the data signals configured with different transmitting powers on the same communication time slot and carrier frequency, and sending out the superposed composite signals.
5. The method of claim 4, wherein demodulating with the SIC technique in step S3 comprises the communication module performing SIC demodulation on the composite signal based on the first transmit power and the second transmit power, wherein: Demodulating a signal component corresponding to the first transmission power to obtain a high-priority data packet; reconstructing the waveform of the signal component and removing it from the composite signal; demodulating the eliminated residual signal to obtain a low-priority data packet corresponding to the second transmitting power.
6. The method according to claim 1, wherein the step S4 comprises: Converting the monitoring task into a calling sequence of a parameterized accumulating and calculating tool and a confidence ellipse verifying tool through semantic analysis; Calling a parameterized accumulation and calculation tool, monitoring the restored signal in real time, and outputting a preliminary abnormality mark when the calculated accumulation statistic exceeds a judgment threshold value; Invoking a confidence ellipse verification tool, and carrying out statistical significance test based on ridge regression on the data points carrying the preliminary abnormal marks; the method further includes outputting the control instructions including fault type, time stamp, and confidence only if the preliminary anomaly signature passes statistical significance test.
7. The method according to claim 1, wherein the step S5 comprises: the execution end receives and analyzes the control instruction from the analysis end, identifies a set of electric equipment judged to enter a saturated state according to the instruction, and adjusts the increment of standardized power aiming at unsaturated electric equipment; For each electric equipment which is judged to enter a saturated state, immediately forcedly correcting the received theoretical regulating instruction into a safe output boundary value of the equipment, marking the theoretical regulating instruction as an unadjustable node in internal cooperative logic, and stopping accumulating regulating errors for the theoretical regulating instruction; For the electric equipment which is not judged to be saturated, generating and broadcasting a unified cooperative adjustment instruction according to the rated capacity proportion of each equipment according to the standardized power adjustment increment in the control instruction; controlling unsaturated electric equipment with voltage source characteristics, and increasing output according to the cooperative regulation instruction so as to fill the system power shortage generated by the isolation of saturated equipment; And before a sleep instruction is sent out, calculating whether the rest equipment can maintain bus voltage higher than a preset voltage threshold and whether the communication link strength can be higher than the preset strength threshold if the rest equipment is stopped, and only when the calculation result is yes, sending the sleep instruction to the equipment to be dormant.
8. The method of claim 7, wherein the step of determining the position of the probe is performed, The preset voltage threshold is a lower limit value of bus voltage which enables all controlled electric equipment to maintain normal operation; The preset strength threshold is the lowest signal strength required by reliable data demodulation of the communication module in the working environment where the carbon management system is located.
9. An energy-carbon management system for executing the enterprise energy-carbon cooperative control method as claimed in any one of claims 1 to 8, comprising a sensing end, an analysis end, an execution end and a communication module, wherein: The sensing end is used for signal acquisition, compression and sending decision; the communication module is used for executing power domain superposition transmission and serial interference elimination demodulation according to the decision sent by the sensing end; The analysis end is used for executing signal restoration, deterministic research and judgment and control instruction generation; the execution end is used for executing control instruction analysis, equipment cooperative control and dormancy management.
10. A computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the enterprise energy carbon co-control method of any of claims 1 to 8.

Description

Enterprise energy-carbon cooperative control method, system and storage medium Technical Field The application relates to the technical field of industrial automation and energy management, in particular to an enterprise energy-carbon cooperative control method, an enterprise energy-carbon cooperative control system and a storage medium. Background Under the background of promoting energy conservation and carbon reduction of industrial enterprises, the energy consumption and carbon emission in the production process are extremely important to be finely monitored and regulated in real time. Existing enterprise-wide carbon management schemes rely mostly on embedded terminals deployed in the field. These terminals face two significant challenges: First, high accuracy acquisition contradicts limited bandwidth. There are a large number of transient, high amplitude voltage-current signals (e.g., motor start-up shocks) in industrial sites, which require high bit-width, high sampling rate analog-to-digital converters (ADCs) to fully capture these high dynamic range signals to ensure accurate carbon accounting. However, in resource-constrained embedded terminals, the continuous transmission of high frequency, high bit width data can severely squeeze the communication bus and network bandwidth, resulting in data accumulation and processing delays. If the sampling accuracy or range is reduced to save bandwidth, signal distortion (topping) or detail loss may be caused, so that analysis on transient energy consumption and fault characteristics is disabled. Second, data transport congestion contradicts control response delays. In an industrial scenario with dense equipment and large data concurrency, the traditional fixed-period polling communication mechanism is extremely prone to network congestion. When the terminal detects that the abnormality needs to be immediately reported and control is triggered, the key alarm data packet often needs to wait in the communication queue, so that the control instruction is seriously lagged, and the optimal processing time can be missed and even accidents are caused. Therefore, how to realize fidelity sensing and reliable transmission of high dynamic range industrial signals by using limited bandwidth resources without greatly increasing hardware cost, and ensure millisecond deterministic response of key control instructions when the network is busy becomes a key technical bottleneck for improving the energy-carbon management efficiency of enterprises. Disclosure of Invention The application aims to provide an enterprise energy-carbon cooperative control method, an enterprise energy-carbon cooperative control system and a storage medium, so as to solve the problems of contradiction between industrial field high-dynamic signal acquisition and low-bandwidth transmission and poor control instruction response certainty in a high-load communication environment. The method realizes the preferential and reliable transmission of key data by combining the intelligent sending decision of the sensing end with the high-efficiency physical layer transmission technology of the communication module, and ensures the accuracy and safety of carbon regulation by the cooperative control of the deterministic mathematical research and judgment of the analysis end and the execution end. In a first aspect, the present application provides an enterprise energy-carbon cooperative control method, which is applied to an energy-carbon management system, wherein the energy-carbon management system is used for performing energy-carbon monitoring and coordination control on electric equipment, and comprises a sensing end, an analysis end, an execution end and a communication module, and the method comprises the following steps: S1, the sensing end performs residual sampling on a voltage or current analog signal of the electric equipment through a double-channel acquisition circuit configured with a mutual-quality folding modulus, calculates the inter-channel difference, and generates a low-bandwidth compressed data packet; S2, the sensing end decides the time and the sending priority of sending the compressed data packet to the analysis end based on the state timeliness index of the electric equipment corresponding to the compressed data packet; s3, the analysis end acquires signals which are transmitted by superposition of a power domain, demodulates and acquires the compressed data packet by utilizing a serial interference elimination technology, and then recovers the compressed data packet into voltage or current signals by utilizing the mutual quality folding modulus; S4, invoking a preset mathematical tool sequence, carrying out distribution drift detection and statistical significance verification on the restored signals, comprehensively analyzing signal characteristics to judge whether electric equipment enters a saturated state, calculating standardized power adjustment increment required by a system, and