“With the advancement of technology, high-consumption and low-efficiency lighting products, appliances and equipment will gradually be replaced by a new generation of smarter and more energy-efficient equipment. However, there is still a long way to go to further improve the level of energy conservation and efficiency.
With the advancement of technology, high-consumption and low-efficiency lighting products, appliances and equipment will gradually be replaced by a new generation of smarter and more energy-efficient equipment. However, there is still a long way to go to further improve the level of energy conservation and efficiency.
However, the emergence of small-scale handheld devices gives us hope. Extending battery life is always the expectation of users, and it is also the goal that manufacturers and designers are striving for. But large-volume and durable home appliances will consume more energy, and it is difficult to make breakthroughs.
Taking California’s high energy efficiency standards for the refrigeration industry as an example, they believe that designing energy-efficient refrigerators and freezers will bring unacceptable costs to products and consumers. However, they did not lose a large market like California, but adopted price cuts and technological improvement measures, so as to eliminate the need to build hundreds of power stations, reduce pollutant emissions and electricity bills, and better benefit mankind. .
But there is still a need to improve the energy efficiency of the equipment. Doing this in a demand-based distributed random environment is not an easy task. Taking a typical home or apartment as an example, from the perspective of energy suppliers, the use of equipment such as lamps, entertainment systems, computers, heating, air conditioning, refrigerators, dehumidifiers, washing machines, dryers, etc. is more casual. These utilities must Sufficient backup energy can be increased to cope with the extreme conditions of full operation of the equipment.
Simple and smart technology is slowly integrating into our lives. For example, the smart Nest thermostat will try to learn the user’s habits and preferences in order to minimize heating and cooling costs. But to design better devices and home appliances, we also need three things: sensor fusion, artificial intelligence (AI), and smart home appliance protocol, which can represent human beings and make high-level communication and decision-making based on human interests. . Let’s introduce how to use them for work.
Smart Appliance Agreement
Sensor fusion allows access to all real and simulated sensors during the thought process to make accurate predictions or decisions. Artificial intelligence learns by recognizing patterns and links to make smart decisions. For example, we will predict that it will rain based on the gathering of dark clouds and the drop in air pressure, but we will not open the nozzle at this time.
This intelligence can form rule-based processing methods to obtain accurate sensor information in real time, or form deep learning to obtain accurate predictions through observation.
A few years ago, I designed and built a dynamic energy distribution system that can accept a variety of energy (such as wind and solar) and distribute it to remote loads based on needs or real-time requests from the local processor (see Figure 1). This distributed processing environment uses local energy to provide the required power for a certain area until the dynamic energy processor can allocate energy to the area to meet demand and charge local energy storage devices. Sensors are used to measure current and voltage drops, and communication between processors allows precise control. But to work properly, a smart home appliance protocol is needed to facilitate higher-level communication between devices and home appliances. Considering the existing wired and wireless communication protocols, as well as the processing capabilities required by humans, it can be seen that it is imperative to implement smart home appliance protocols across the industry. In addition, environmental protection issues should also be considered. Therefore, if we want to continue to use energy in the future, smart devices will not be able to meet the needs of human beings. Instead, we will gradually move towards the era of superintelligence.
Figure 1: The energy from all energy sources is adjusted and delivered to the energy pool, where it is metered and delivered to the energy demand area. Each area has its own energy storage device, which can supply power to the area in a short period of time until it detects the required amount of current and sends a request to the energy pool. While the energy pool supplies power to the equipment, it also charges the local energy storage equipment. Unneeded excess energy can be used to charge batteries, generate hydrogen and oxygen, or use standard grid-connected inverters to power the grid. (Source: Author)
Grid equipment based on the Internet of Things
Any electricity, monitoring or control equipment needs a unique identifier to enumerate its operating mode and operating characteristics. For example, a refrigerator can report several possible states: idle standby, door open light, compressor running, temperature, and any combination of these states.
If the refrigerator is at or close to the set temperature, the compressor may stop working, but it can still maintain the fresh-keeping temperature. Therefore, if you need to run a manually controlled load (such as a coffee machine), you can turn off the compressor in advance without causing obvious The service was interrupted because the refrigerator was kept cold for a few minutes while the coffee machine was running. After the coffee is made, the compressor can be restarted without significant service interruption.
You may have noticed a key question that arises from this. The super smart grid can maintain peak power consumption. Factories and large electricity users must comply with peak electricity requirements. If the current consumption does not exceed “X” amperes, the electricity price will be relatively low. Once the specified value is exceeded, the electricity price will be much higher, thus greatly improving energy utilization.
To some extent, residential electricity consumption also needs to meet this restriction. In this way, the power company can operate at a lower capacity. In addition, appliances that can work together to ensure peak demand and load consistency will have an advantage over appliances that do not work together. Phase balance and phase angle control can also be used to improve efficiency and reduce useless reactive power.
To formulate protocol standards for smart home appliances, major manufacturers need to work with standards committees such as IEEE, UL, and FCC to determine the communication mode (wireless and wired) and the parameters that must be marked for home appliances. For example, for safety reasons, certain lighting devices may have a higher priority than freezers when power is off. The intelligent controller can set steps or deductive reasoning: People should start the emergency channel lighting when they want to leave the dark environment after the power is off. At this time, lighting is the priority, and the lighting equipment should be powered until everyone leaves. Together, we can define and formulate agreements for smart home appliances, provide the required components and technical know-how, and easily enter the super-intelligence era!