Low-power-consumption equipment operation logic algorithm

Abstract

The invention discloses a low-power-consumption equipment operation logic algorithm in the field of intelligent energy management of low-power-consumption Internet of Things equipment. The low-power-consumption equipment operation logic algorithm comprises a wireless card reader module, a gateway module, a server module, a working computer module and a logic algorithm module of the working computer module, the wireless card reader module is used for storing newly-added acquisition information including starting frequency, duration time and other information of a working period and sending data to the gateway, the specific hardware transformation comprises adding a sensor data acquisition module in the wireless card reader and receiving a control instruction of the server, and the hardware transformation of the gateway comprises adding a data buffer module and sending the data buffer module to the wireless card reader. Through the algorithm, the equipment can dynamically adjust an operation mode according to historical working data, a real-time state and an external control signal, and is in a dormancy state in non-working time so as to reduce power consumption, improve the use efficiency of a battery, prolong the use time of a single battery of the equipment, reduce the operation and maintenance cost of a maintenance enterprise, and improve the service life of the equipment. And the energy use cost of customers is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent energy management of low-power Internet of Things devices, and in particular to an operation logic algorithm of low-power devices. Background Art

[0002] In the use of remote low-power IoT card readers, in IoT applications, remote low-power devices usually need to be in operation for a long time to respond to data collection and transmission tasks at any time. However, the continuous power supply of the device during non-working hours or low-frequency working hours will cause the battery power to be consumed quickly, thereby increasing energy waste and maintenance costs.

[0003] Traditional methods rely on manual settings or preset timed sleep modes, which are difficult to cope with complex practical application scenarios, especially in terms of energy efficiency optimization in different working states and time periods. Therefore, a low-power operation logic based on device historical data analysis and algorithm optimization is proposed, which becomes a key technology to improve device energy efficiency and extend battery life.

[0004] A Chinese patent with announcement number CN116722641A discloses a low-power operation system for an IoT node device, which relates to the technical field of power system signal detection. The power grid is divided into multiple interval segments, and then the environmental factors are analyzed separately to obtain environmental impact factors. Then, the factor corresponding to the largest value of the environmental impact factor is used as the key monitoring object, and other environmental impact factors are used as auxiliary monitoring objects to monitor the power grid information. After that, the operation of the monitoring device is controlled through the device information operation module. Signal detection equipment and monitoring equipment are set in each interval segment, and their starting states are set to sleep state. When there is an abnormality in the power signal value, the signal detection device is started, and a start signal is generated to first detect the detection equipment of the key monitoring object. When there is no abnormality in the key monitoring object, the monitoring equipment of the auxiliary monitoring object is started and detected, thereby achieving the effect of low-power operation of the equipment.

[0005] However, the above-mentioned publicly disclosed scheme has the following shortcomings: the above-mentioned scheme controls the monitoring equipment to be awakened only under abnormal conditions by monitoring the power signal, thereby achieving the effect of reducing power consumption. In actual use, environmental data under normal power environment also needs to be collected and recorded. At the same time, the above-mentioned device will wake up all dormant devices when the power environment is abnormal, resulting in an increase in instantaneous power load, thereby increasing the instability of external power. Summary of the invention

[0006] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of the present invention to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0007] The purpose of the present invention is to address the technical problems existing in the background technology. The present invention proposes a low-power device operation logic algorithm. Through the algorithm, the device can dynamically adjust the operation mode according to historical work data, real-time status and external control signals, and be in sleep mode more often during non-working hours to reduce power consumption, improve battery utilization efficiency, increase the service life of a single battery of the device, reduce the operation and maintenance costs of the maintenance company, and reduce the energy usage costs of customers.

[0008] The present invention proposes a low-power device operation logic algorithm, including a wireless card reader module, a gateway module, a server module, a working computer module and a logic algorithm module thereof;

[0009] The wireless card reader module is used to store the newly added collected information, including the start frequency and duration of the working period, and send the data to the gateway. The specific hardware transformation includes adding a sensor data collection module in the wireless card reader, as well as the corresponding interface circuit and filter circuit;

[0010] As an intermediary device, the gateway module is responsible for transmitting data from the wireless card reader to the server and receiving control instructions from the server. The hardware transformation of the gateway includes adding a data buffer module;

[0011] The server module is a logic algorithm module that analyzes the historical working data of the device, dynamically adjusts the operating mode of the device based on the prediction results, and issues instructions to the gateway to achieve real-time control of the wireless card reader. A coprocessor is added to the server hardware to accelerate data processing.

[0012] The working computer module is used to add working status data. When the computer is turned off or on, it sends a status signal to the server. If it is turned off, the server will control the device that is identified as having no activity record during the non-working period to enter the zero current mode. A voltage detection circuit for monitoring the power supply status is added to the working computer. The circuit transmits the shutdown status information to the server through the analog signal conversion module;

[0013] The logic algorithm module is used to wake up the communication algorithm logic between multiple modules. It has the following three modes when in use:

[0014] Mode 1: In the traditional mode, the device starts once every 1s and works for 100ms. The working current is consumed for 100ms, and the sleeping current is consumed for 900ms in the sleep state.

[0015] Mode 2, ideal mode, in the hours when the device has working data, it starts once per second, works for 100ms, and sleeps for 900ms. In the hours when there is no working data, it starts once every 5 seconds, works for 100ms, and sleeps for 4900ms. If it does not work during non-working hours, it is completely in a zero current state. The ideal mode is not achievable in actual execution. This is a post-data provided for comparison reference.

[0016] Mode 3: Logical algorithm mode. For devices that have been marked as not working during non-working hours, the current during this period is 0; for other time periods and other devices, the working mode is set according to the prediction data of the device working dynamic wake-up prediction mechanism algorithm. If the prediction data shows that the device has working data in the hours, it will start once per second, work for 100ms, and sleep for 900ms. If the prediction data shows that there is no working data in the hours, it will start once every 5 seconds, work for 100ms, and sleep for 4900ms.

[0017] By adopting the above technical solution, this solution can realize that the electrical working equipment is under the control of different logical wake-up algorithms in different time periods through switching of multiple modes, thereby ensuring the accuracy of the wake-up work of the electrical equipment.

[0018] Preferably, the wireless card reader module includes a sensor data acquisition module and corresponding interface circuits and filter circuits for information acquisition and reception.

[0019] By adopting the above technical solution, this solution can improve the accuracy of information collection and recording of this device through the wireless card reader module, thereby ensuring that this device can dynamically adjust the logical algorithm in the gateway according to the changing distribution trend of the working time period of external electrical equipment.

[0020] Preferably, a data buffer module is provided in the gateway module, and the data buffer module includes a buffer, and the buffer is used to store the data received and collected by the wireless card reader module.

[0021] By adopting the above technical solution, the present solution can achieve the effect of buffering and saving the collected information by the present device through the data buffer module structure, thereby avoiding the situation where information is missed by the gateway.

[0022] Preferably, the logic algorithm module in the server predicts the working status of the device based on the historical data of the device, sends dynamic instructions to the gateway and then transmits them to the wireless card reader, dynamically adjusts the working status of the card reader, and also includes a coprocessor for data calculation and a power management circuit.

[0023] By adopting the above technical solution, this solution can achieve the coordinated and collaborative control effect between multiple modules in this algorithm through the logical algorithm module, thereby achieving a dynamic management effect.

[0024] Preferably, the voltage detection circuit and signal conversion module in the working computer module send a shutdown or startup signal to the server and participate in the logical algorithm of the server.

[0025] By adopting the above technical solution, the present solution can achieve the effect of remotely turning on and off the equipment through the network through the working computer module, thereby achieving the situation of reducing energy consumption of the device.

[0026] Preferably, the logic algorithm module predicts the duty cycle of the next day based on the moving average working times of the equipment in 7 days, and analyzes the working characteristics of the non-working time period of a single equipment, and after marking, receives the working signal of the working computer and adjusts the algorithm. The logic algorithm includes the following steps:

[0027] The forecast shows hours with working data: start once per second, work for 100ms, sleep for 900ms, and duty cycle is 10%;

[0028] The forecast shows hours with no working data: start every 5 seconds, work for 100ms, sleep for 4900ms, and duty cycle is 2%;

[0029] Devices marked as inactive during non-working hours enter zero current mode when the working computer is shut down.

[0030] By adopting the above technical solution, this solution can achieve the effect of the device adaptively improving the algorithm itself through the prediction algorithm.

[0031] In summary, the present invention includes at least one of the following beneficial effects:

[0032] The present invention realizes low-power device operation logic by adding a data acquisition device and a logic algorithm module. The method enables the device to dynamically adjust the operating frequency and duty cycle according to the real-time collected data and working status signals, and minimize power consumption without affecting the core functions. The device can reduce the duty cycle of multiple groups of electrical devices through logic algorithm calculations, so that the device can work effectively during the working time period while avoiding invalid wake-up time. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] 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.

[0034] Figure 1 It is a structural diagram of the data collection and work instruction transmission device;

[0035] Figure 2 The working time discrete dot matrix diagram of the equipment in the embodiment of the present invention is concentrated from 7 am to 7 pm;

[0036] Figure 3 This is a discrete dot matrix diagram of working hours in which the working of the equipment on non-working days in the embodiment of the present invention is more concentrated from 7 am to 12 pm and from 2 pm to 6 pm;

[0037] Figure 4 It is a discrete dot matrix diagram of the working status of the equipment from 0:00 to 6:00 on non-working days in an embodiment of the present invention;

[0038] Figure 5 It is a discrete dot matrix diagram of the working status of the equipment from 18:00 to 24:00 on non-working days in an embodiment of the present invention;

[0039] Figure 6 This is a thermal distribution diagram of the working equipment in the embodiment of the present invention;

[0040] Figure 7 A comparison chart of predicted data and actual data in an embodiment of the present invention;

[0041] Figure 8 This is a diagram showing the improvement effect of duty cycle and battery life in an embodiment of the present invention;

[0042] Fig. 9 A battery life comparison diagram in an embodiment of the present invention; DETAILED DESCRIPTION

[0043] The following is combined with Figure 1-9 The present invention is described in further detail.

[0044] Embodiment 1

[0045] like Figure 1-Figure 9 As shown, in order to solve the existing problems, in this embodiment, the present invention discloses a low-power device running logic algorithm, including a wireless card reader module, a gateway module, a server module, a working computer module and a logic algorithm module thereof;

[0046] The wireless card reader module is used to store the newly added collected information, including the start frequency and duration of the working period, and send the data to the gateway. The specific hardware transformation includes adding a sensor data collection module in the wireless card reader, as well as the corresponding interface circuit and filter circuit;

[0047] As an intermediary device, the gateway module is responsible for transmitting data from the wireless card reader to the server and receiving control instructions from the server. The hardware transformation of the gateway includes adding a data buffer module;

[0048] The server module is a logic algorithm module that analyzes the historical working data of the device, dynamically adjusts the operating mode of the device based on the prediction results, and issues instructions to the gateway to achieve real-time control of the wireless card reader. A coprocessor is added to the server hardware to accelerate data processing.

[0049] The working computer module is used to add working status data. When the computer is turned off or on, it sends a status signal to the server. If it is turned off, the server will control the device that is identified as having no activity record during the non-working period to enter the zero current mode. A voltage detection circuit for monitoring the power supply status is added to the working computer. The circuit transmits the shutdown status information to the server through the analog signal conversion module;

[0050] The logic algorithm module is used to wake up the communication algorithm logic between multiple modules. It has the following three modes when in use:

[0051] Mode 1: In the traditional mode, the device starts once every 1s and works for 100ms. The working current is consumed for 100ms, and the sleeping current is consumed for 900ms in the sleep state.

[0052] Mode 2, ideal mode, in the hours when the device has working data, it starts once per second, works for 100ms, and sleeps for 900ms. In the hours when there is no working data, it starts once every 5 seconds, works for 100ms, and sleeps for 4900ms. If it does not work during non-working hours, it is completely in a zero current state. The ideal mode is not achievable in actual execution. This is a post-data provided for comparison reference.

[0053] Mode 3: Logical algorithm mode. For devices that have been marked as not working during non-working hours, the current during this period is 0; for other time periods and other devices, the working mode is set according to the prediction data of the device working dynamic wake-up prediction mechanism algorithm. If the prediction data shows that the device has working data in the hours, it will start once per second, work for 100ms, and sleep for 900ms. If the prediction data shows that there is no working data in the hours, it will start once every 5 seconds, work for 100ms, and sleep for 4900ms.

[0054] The wireless card reader module includes a sensor data acquisition module and corresponding interface circuits and filter circuits for information acquisition and reception.

[0055] The gateway module is provided with a data buffer module, which includes a buffer memory, and the buffer memory is used to store the data received and collected by the wireless card reader module.

[0056] The logic algorithm module in the server predicts the working status of the device based on the historical data of the device, sends dynamic instructions to the gateway and then transmits them to the wireless card reader, dynamically adjusts the working status of the card reader, and also includes a coprocessor for data calculation and a power management circuit.

[0057] The voltage detection circuit and signal conversion module in the working computer module send a shutdown or startup signal to the server and participate in the logical algorithm of the server.

[0058] The logic algorithm module predicts the duty cycle of the next day based on the moving average working times of the equipment in 7 days, and analyzes the working characteristics of the non-working time period of a single equipment, and after marking, receives the working signal of the working computer and adjusts the algorithm. The logic algorithm includes the following steps:

[0059] The forecast shows hours with working data: start once per second, work for 100ms, sleep for 900ms, and duty cycle is 10%;

[0060] The forecast shows hours with no working data: start every 5 seconds, work for 100ms, sleep for 4900ms, and duty cycle is 2%;

[0061] Devices marked as inactive during non-working hours enter zero current mode when the working computer is shut down.

[0062] The logic algorithm module predicts the duty cycle of the next day based on the moving average working times of the equipment in 7 days, and analyzes the working characteristics of the non-working time period of a single equipment, and after marking, receives the working signal of the working computer and adjusts the algorithm. The logic algorithm includes the following steps:

[0063] The forecast shows hours with working data: start once per second, 100ms working, 900ms sleeping, and a duty cycle of 10%.

[0064] The forecast shows hours with no working data: start every 5 seconds, 100ms working, 4900ms sleeping, with a duty cycle of 2%.

[0065] Devices marked as inactive during non-working hours enter zero current mode when the working computer is shut down.

[0066] The specific working principle is: data collection and transmission, the wireless card reader monitors the operation status of the equipment in real time through the data collection device, sends the data to the gateway, and then the gateway transmits it to the server for analysis; algorithm analysis and control command The logic algorithm module on the server dynamically adjusts the startup frequency of the equipment according to the collected data and working status prediction results, and issues instructions to the wireless card reader through the gateway; deep sleep mechanism, when the working computer is turned off, the server will receive the signal and put the devices marked as inactive during non-working hours into zero current mode to maximize energy saving.

[0067] Embodiment 2

[0068] like Figure 1-Figure 9 As shown, in order to solve the existing problem in this embodiment, based on the same concept as the above-mentioned embodiment 1, the low-power device operation logic algorithm also includes an analysis of the discrete degree of the device working time:

[0069] From the working scatter diagram of all equipment, it can be seen that the working time of the equipment is concentrated from 7 am to 19 pm. Figure 2 .

[0070] The work distribution of equipment on working days is different from that on non-working days. Compared with working days, the work of equipment on non-working days is more concentrated from 7:00 to 12:00 in the morning and from 14:00 to 18:00 in the afternoon. See attached. Figure 3 .

[0071] The working status of different devices is also different. Figure 4 The equipment in the middle left picture does not work during non-working hours (0:00 to 6:00, 18:00 to 24:00). Figure 5 The equipment does not work at 13:00.

[0072] Figure 6 This is a heat map that shows the non-working status of each device at different time periods each week. White means the device is not working during that time period, and dark blue means there is a working record. The horizontal axis represents the day and hour of the week, and the vertical axis represents the device ID. The diagram clearly shows which devices are always non-working during a specific time period.

[0073] Through the above data collection and analysis method, it can be obtained that the working intensity of work equipment in different time periods is different and the time distribution of concentrated use of different work equipment is obtained. This algorithm further optimizes the algorithm logic according to the distribution law of the above collection.

[0074] Embodiment 2

[0075] like Figure 1-Figure 9 As shown, in order to solve the existing problems in this embodiment, based on the same concept as the above-mentioned embodiment 1, the low-power device operation logic algorithm also includes an algorithm logic definition part:

[0076] Duty Cycle Definition

[0077] The duty cycle D reflects the ratio of the equipment working time to the startup cycle, and its formula is:

[0078]

[0079] Among them, T work is the working time, T rest The duration of sleep.

[0080] Battery life calculation

[0081] The formula for battery life (hours) is:

[0082]

[0083] Among them, the average load current I avg Calculated as:

[0084] I avg =I work ×D+I rest ×(1-D)

[0085] I work is the working current, I rest is the sleep current.

[0086] The above definition is used to optimize and predict the time for the device to wake up and sleep during dynamic operation.

[0087] According to the data analysis of the sampled equipment, it can be seen that the equipment has obvious weekly periodicity. Therefore, this algorithm designs a 7-day moving average prediction, which predicts the working status of the equipment by analyzing the working data of the past 7 days. At the same time, this algorithm will also detect the equipment that is not working during the non-working time period (0-7 o'clock, 19 o'clock to 24 o'clock). These equipment use moving average to predict the working status during the working time period and use deep sleep mode during the non-working time period. The algorithm logic is as follows:

[0088] 1. Working status prediction formula:

[0089]

[0090] in, represents the number of predicted tasks at the hth hour on the dth day, W d-i,h Indicates the actual number of work done in the hour in the previous 7 days.

[0091] 2. Processing during non-working hours:

[0092] During the non-working hours (0-7 am, 7-12 am), the device enters deep sleep mode. An indicator function can be introduced to indicate whether the device is in the non-working time period:

[0093]

[0094] 3. Equipment working status formula:

[0095] Taking into account the deep sleep in the non-working time period and the moving average prediction in the working time period, the actual working status of the device at the hour of the day can be expressed as:

[0096]

[0097] Algorithm Effect

[0098] First, let’s look at the comparison chart between the predicted data and the actual data. The red color represents the predicted working data, and the blue color represents the actual working data. It can be seen that the weekly prediction algorithm can well predict the working status of the actual equipment. See the attached figure. Figure 7 .

[0099] Embodiment 3

[0100] like Figure 1-Figure 9 As shown, in order to solve the existing problems in this embodiment, based on the same concept as the above-mentioned embodiment 1, the low-power device operation logic algorithm also includes duty cycle and battery life improvement effect:

[0101] Duty cycle comparison effect diagram, see attached Figure 8 , we assume that the working device has three modes:

[0102] Mode 1: In the traditional mode, the device starts once every 1s and works for 100ms. The working current is consumed for 100ms, and the sleeping current is consumed for 900ms in the sleep state.

[0103] Mode 2, ideal mode, the device starts once per second, works for 100ms, and sleeps for 900ms during the hours when there is working data. It starts once every 5 seconds, works for 100ms, and sleeps for 4900ms during the hours when there is no working data. If it does not work during non-working hours, it is completely in a zero current state. The ideal mode is not achievable in actual execution. This is a post-process data for comparison reference.

[0104] Mode 3: Logical algorithm mode. For devices that have been marked as not working during non-working hours, the current during this period is 0; for other time periods and other devices, the working mode is set according to the prediction data of the device working dynamic wake-up prediction mechanism algorithm. If the prediction data shows that the device has working data in the hours, it will start once per second, work for 100ms, and sleep for 900ms. If the prediction data shows that there is no working data in the hours, it will start once every 5 seconds, work for 100ms, and sleep for 4900ms.

[0105] The duty cycle comparison line chart of the three modes, the horizontal axis is the device ID, the vertical axis is the duty cycle (%). Blue represents mode 1, green represents mode 2, and red represents the logic algorithm mode. See attached Figure 8 .

[0106]

[0107] It can be seen that in the traditional mode of mode 1, the duty cycle of the device is continuously at 10%, the ideal mode of mode 2 can keep the battery at the lowest duty cycle, and although the duty cycle of the logic algorithm mode of mode 3 is higher than the ideal mode, both are lower than the continuous 10% duty state.

[0108] Battery life comparison chart, see attached Fig. 9 , further analyzing the improvement of battery efficiency, assuming the use of a common 250 (mAh) battery, the current of the device when working is 0.017mA, and the current when sleeping is 0.0026mA. The device that is predicted to be non-working during non-working time periods will remain in a deep sleep state with a current of approximately 0.

[0109] The bar chart of the device battery life in three modes, the horizontal axis is the device ID, the vertical axis is the battery life (hours), blue, green, and red represent mode 1, mode 2, and logic algorithm mode respectively, see the attached Fig. 9 .

[0110]

[0111]

[0112] In terms of extending the battery life, that is, extending the low energy consumption time, the logic algorithm mode extends the battery life by 1.39 years compared with the traditional mode, with an extension ratio of 119.7%; it can reach 88.1% of the ideal mode. It can be clearly seen that the value of the logic algorithm mode of this patent in extending the battery life.

[0113] The above are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A low-power device operation logic algorithm, characterized in that: It includes a wireless card reader module, a gateway module, a server module, a working computer module and a logic algorithm module; The wireless card reader module is used to store the newly added collected information, including the start frequency and duration of the working period, and send the data to the gateway. The specific hardware transformation includes adding a sensor data collection module in the wireless card reader, as well as the corresponding interface circuit and filter circuit; The gateway module, as an intermediary device, is responsible for transmitting data from the wireless card reader to the server and receiving control instructions from the server. The hardware transformation of the gateway includes adding a data buffer module; The server module is a logic algorithm module that analyzes the historical working data of the device, dynamically adjusts the operating mode of the device based on the prediction results, and issues instructions to the gateway to achieve real-time control of the wireless card reader. A coprocessor is added to the server hardware to accelerate data processing. The working computer module is used to add working status data. When the computer is turned off or on, it sends a status signal to the server. If it is turned off, the server will control the device that is identified as having no activity record during the non-working period to enter the zero current mode. A voltage detection circuit for monitoring the power supply status is added to the working computer. The circuit transmits the shutdown status information to the server through the analog signal conversion module; The logic algorithm module is used to wake up the communication algorithm logic between multiple modules. It has the following three modes when in use: Mode 1: In the traditional mode, the device starts once every 1s and works for 100ms. The working current is consumed for 100ms, and the sleep current is consumed for 900ms in sleep state. Mode 2, ideal mode, in the hours when the device has working data, it starts once per second, works for 100ms, and sleeps for 900ms. In the hours when there is no working data, it starts once every 5 seconds, works for 100ms, and sleeps for 4900ms. If it does not work during non-working hours, it is completely in a zero current state. The ideal mode is not achievable in actual execution. This is a post-data provided for comparison reference. Mode 3: Logical algorithm mode. For devices that have been marked as not working during non-working hours, the current during this period is 0; for other time periods and other devices, the working mode is set according to the prediction data of the device working dynamic wake-up prediction mechanism algorithm. If the prediction data shows that the device has working data in the hours, it will start once per second, work for 100ms, and sleep for 900ms. If the prediction data shows that there is no working data in the hours, it will start once every 5 seconds, work for 100ms, and sleep for 4900ms.

2. A low-power device operation logic algorithm according to claim 1, characterized in that: The wireless card reader module includes a sensor data acquisition module and corresponding interface circuits and filter circuits for information acquisition and reception.

3. A low-power device operation logic algorithm according to claim 2, characterized in that: The gateway module is provided with a data buffer module, which includes a buffer memory, and the buffer memory is used to store the data received and collected by the wireless card reader module.

4. A low-power device operation logic algorithm according to claim 3, characterized in that: The logic algorithm module in the server predicts the working status of the device based on the historical data of the device, sends dynamic instructions to the gateway and then transmits them to the wireless card reader, dynamically adjusts the working status of the card reader, and also includes a coprocessor for data calculation and a power management circuit.

5. A low-power device operation logic algorithm according to claim 4, characterized in that: The voltage detection circuit and signal conversion module in the working computer module send a shutdown or startup signal to the server and participate in the logical algorithm of the server.

6. A low-power device operation logic algorithm according to claim 5, characterized in that: The logic algorithm module predicts the duty cycle of the next day based on the moving average working times of the equipment in 7 days, and analyzes the working characteristics of the non-working time period of a single equipment, and after marking, receives the working signal of the working computer and adjusts the algorithm. The logic algorithm includes the following steps: The forecast shows hours with working data: start once per second, work for 100ms, sleep for 900ms, and duty cycle is 10%; The forecast shows hours with no working data: start every 5 seconds, work for 100ms, sleep for 4900ms, and duty cycle is 2%; Devices marked as inactive during non-working hours enter zero current mode when the working computer is shut down.

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