An ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal

Abstract

The present application relates to an ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal, which includes a data acquisition terminal composed of a digital temperature sensor, a data storage unit, a data transparent transmission unit and a data processing unit. The data acquisition terminal is a wireless temperature measurement node. The data acquisition terminal is connected to a cloud big data server, and the data processing unit performs the following steps: the peripheral circuit is dormant, and only some IO ports are reserved for receiving temperature data; the temperature data is stored; if a wake-up command is received, the data transparent transmission unit is controlled to send the stored temperature data to the cloud big data server; the peripheral circuit is dormant again and monitors the server status; if a parameter instruction set file is received within a preset time, the corresponding parameters are modified in response to the parameter instruction set file, and the above steps are repeated. The acquisition terminal has low power consumption, integrates data acquisition, processing and transmission, and provides data support for the cloud big data server as a wireless temperature measurement node.

Description

Technical Field

[0001] The present application relates to the field of wireless temperature measurement technology, and in particular to an ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal. Background Art

[0002] At present, most of the wireless temperature measurement equipment on the market is usually composed of wireless transparent transmission equipment and remote data acquisition terminals. The wireless transparent transmission equipment includes sensors and routers. The sensors are used to collect field information and convert them into digital signals for output. The routers receive the digital signals output by the sensors for relaying and transmit the digital signals to the remote data acquisition terminals. The wireless transparent transmission equipment and the data acquisition terminals generally exchange data in the 2.4GHz and 433MH wireless frequency bands using the standard Modbus protocol, which is generally suitable for short-distance data transmission.

[0003] However, existing wireless temperature measurement devices often have the following disadvantages:

[0004] 1. The communication distance between the sensor and the remote data acquisition terminal is limited, which makes it difficult to adapt to long-distance transmission;

[0005] 2. The quality of data interaction between the sensor and the remote data acquisition terminal is greatly constrained by the environment (for example, the density of buildings at the sensor deployment site will directly affect the quality of data interaction);

[0006] The data acquisition terminal installed at the remote end consumes a lot of power and must be powered for a long time. Once the power is cut off, it is easy to cause problems such as incomplete data collection or data leakage. Summary of the invention

[0007] In order to solve the technical problems mentioned in the above background technology or at least partially solve the above technical problems, the present application provides an ultra-low power intelligent wireless temperature measurement big data acquisition terminal with low power consumption, integrating data acquisition, processing and transmission, and serving as a wireless temperature measurement node to provide data support for cloud big data servers.

[0008] The present application provides an ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal, comprising: a digital temperature sensor, a data storage unit, a data transparent transmission unit, a data processing unit and a cloud big data server; the digital temperature sensor and the data storage unit are both connected to the data processing unit, the data processing unit is connected to the data transparent transmission unit, and the data transparent transmission unit is connected to the cloud big data server; the data acquisition terminal monomer composed of the digital temperature sensor, the data storage unit, the data transparent transmission unit and the data processing unit serves as an Internet of Things wireless temperature measurement node;

[0009] The data processing unit is configured to perform the following steps:

[0010] Step S1: Control the peripheral circuit to enter a dormant state, and only retain some IO ports for receiving real-time temperature data periodically scanned by the digital temperature sensor;

[0011] Step S2: storing the received temperature data in the storage unit inside the data processing unit and the data storage unit;

[0012] Step S3: If a wake-up instruction is received, control the data transparent transmission unit to send the cached temperature data to the cloud big data server and / or other wireless temperature measurement nodes;

[0013] Step S4: Control the peripheral circuit to enter the sleep state again and monitor the server status;

[0014] Step S5: If the parameter instruction set file sent by the cloud big data server is received within the preset time, the parameters corresponding to the digital temperature sensor are modified in response to the parameter instruction set file, and the process returns to step S1.

[0015] Preferably, the data processing unit is further configured to: if the wake-up instruction is received, control the data transparent transmission unit to send the cached temperature data to other wireless temperature measurement nodes.

[0016] Preferably, the ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal also includes a power module connected to the digital temperature sensor, the data storage unit, the data transparent transmission unit and the data processing unit, and the power module is used to power the digital temperature sensor, the data storage unit, the data transparent transmission unit and the data processing unit.

[0017] Preferably, the data transparent transmission unit includes a NB-IoT communication module.

[0018] Preferably, the data processing unit includes an ARM processor.

[0019] Preferably, the ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal also includes a wake-up module respectively connected to the data processing unit and the cloud big data server, and the wake-up module is used to generate the wake-up instruction based on the wake-up information sent by the cloud big data server, and transmit the wake-up instruction to the data processing unit.

[0020] Preferably, the cloud big data server is configured to perform the following steps:

[0021] Step 100: Determine the temperature collection scenario;

[0022] Step 101: searching for a configuration parameter set and a temperature processing algorithm corresponding to the temperature acquisition scenario;

[0023] Step 102: Generate the parameter instruction set file according to the configuration parameter set and / or the temperature processing algorithm;

[0024] Step 103: Send the parameter instruction set file to the corresponding data acquisition terminal.

[0025] The above technical solution provided by the embodiment of the present application has the following advantages compared with the prior art: the low-power intelligent wireless temperature measurement data acquisition system integrates a data transparent transmission unit and a data processing unit at the sensor end. Different from the traditional wireless temperature acquisition architecture, each data acquisition terminal serves as a wireless temperature measurement node, and several data acquisition terminals jointly provide data support for the cloud big data server to realize remote communication of temperature data. It has low power consumption and good stability, which is conducive to improving the effectiveness and accuracy of temperature collection. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0028] Figure 1 A schematic diagram of the composition structure of an ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal provided in an embodiment of the present application;

[0029] Figure 2 A schematic diagram of the steps executed by the data processing unit;

[0030] Figure 3 This is another structural diagram of an ultra-low power intelligent wireless temperature measurement big data acquisition terminal.

[0031] icon:

[0032] 1. Digital temperature sensor; 2. Data storage unit; 3. Data transmission unit; 4. Data processing unit; 5. Cloud big data server. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0034] For ease of understanding, the following is a detailed description of an ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal provided in an embodiment of the present application. Figure 1 , an ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal, comprising: a digital temperature sensor 1, a data storage unit 2, a data transparent transmission unit 3, a data processing unit 4 and a cloud big data server 5; the digital temperature sensor and the data storage unit are both connected to the data processing unit, the data processing unit is connected to the data transparent transmission unit, and the data transparent transmission unit is connected to the cloud big data server; the data acquisition terminal monomer composed of the digital temperature sensor, the data storage unit, the data transparent transmission unit and the data processing unit serves as an Internet of Things wireless temperature measurement node;

[0035] See also Figure 2 , the data processing unit is configured to perform the following steps:

[0036] Step S1: Control the peripheral circuit to enter a dormant state, and only retain some IO ports for receiving real-time temperature data periodically scanned by the digital temperature sensor;

[0037] Step S2: storing the received temperature data in the storage unit inside the data processing unit and the data storage unit;

[0038] Step S3: If a wake-up instruction is received, control the data transparent transmission unit to send the cached temperature data to the cloud big data server and / or other wireless temperature measurement nodes;

[0039] Step S4: Control the peripheral circuit to enter the sleep state again and monitor the server status;

[0040] Step S5: If the parameter instruction set file sent by the cloud big data server is received within the preset time, the parameters corresponding to the digital temperature sensor are modified in response to the parameter instruction set file, and the process returns to step S1.

[0041] In this solution, the digital temperature sensor collects the temperature data on site and transmits it to the data processing unit. The data processing unit processes the received temperature data and stores it in the data storage unit. Each data collection terminal unit interacts with the cloud big data server through the data transmission unit. Each data collection terminal unit is a wireless temperature measurement node. Several wireless temperature measurement nodes provide data support for the cloud big data server.

[0042] In this solution, the data processing unit is provided with peripheral circuits. Under normal working conditions, the data processing unit controls the peripheral circuits to enter a dormant state, and only retains a portion of IO ports, which are used to receive temperature data collected and transmitted by a digital temperature sensor.

[0043] In this solution, compared with traditional thermistor and thermocouple resistance type temperature measuring probes, the digital temperature sensor reduces the digital-to-analog conversion process, reduces the complexity of the peripheral circuit of the whole machine, improves the stability of the overall equipment, and is conducive to improving the effectiveness and accuracy of temperature acquisition.

[0044] In this solution, the ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal integrates a data transmission unit and a data processing unit at the sensor end, reducing the structure of sensors and remote data terminals required in traditional wireless temperature acquisition scenarios; each data acquisition terminal serves as a wireless temperature measurement node, and several wireless temperature measurement nodes provide data support for the cloud big data server to realize remote communication of temperature data, with low power consumption, and can be powered by lithium batteries, which solves the high power consumption and long power supply method in traditional wireless temperature acquisition scenarios, and has high data acquisition reliability.

[0045] In this solution, the storage space of the data processing unit itself can be used for caching temperature data, and the data storage unit can include an external flash memory (flash memory is a type of memory device, and flash memory is a non-volatile memory that can retain data for a long time even without current supply, and its storage characteristics are equivalent to a hard disk) for long-term data storage. The combination of the data processing unit's own storage space and the external flash can effectively avoid accidental data loss in the event of abnormal network communication, and is conducive to long-term, large-capacity data storage.

[0046] In this solution, in the normal working mode, the data processing unit controls the peripheral circuit to enter the dormant state, and only some IO ports are reserved for the digital temperature sensor to periodically scan the real-time temperature data. The periodically scanned temperature data can be stored in the storage unit inside the data isolation unit and the data storage unit of the peripheral device; after receiving the wake-up command, it enters the data transmission mode, and the data processing unit automatically wakes up and turns on the peripheral digital transparent transmission unit to send the stored temperature data. After completing the transmission and reception of data, the data transparent transmission unit continues to enter the dormant state. By reasonably configuring the data scanning and data transmission cycle, the low-power working mode can be maximized, and then a small-capacity and small-volume battery can be used to power the device.

[0047] In some specific embodiments of the present application, the data processing unit is further configured to: if the wake-up instruction is received, control the data transparent transmission unit to send the cached temperature data to other wireless temperature measurement nodes.

[0048] In this solution, data can be exchanged between several wireless temperature measurement nodes distributed in different locations.

[0049] In some specific embodiments of the present application, the ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal also includes a power module connected to the digital temperature sensor, the data storage unit, the data transparent transmission unit and the data processing unit, and the power module is used to power the digital temperature sensor, the data storage unit, the data transparent transmission unit and the data processing unit.

[0050] In this scheme, under the condition that the long-term power supply cycle is not less than the target number of days, and the data processing unit (such as a single-chip microcomputer) and peripheral circuits work normally, a large-capacity battery is used to provide a long-term effective working voltage to the data processing unit after voltage boosting.

[0051] In some specific embodiments of the present application, the data transparent transmission unit includes a NB-IoT communication module.

[0052] In this solution, a low-power NB-IoT communication module is used, and its functional characteristics are combined to develop a targeted low-power module for data transmission.

[0053] In some specific embodiments of the present application, the data processing unit includes an ARM processor.

[0054] In this solution, an ARM core data processor is used to control the digital temperature sensor to collect data, store data, send data, and monitor power status through an embedded single-chip microcomputer program, with low power consumption.

[0055] In some specific embodiments of the present application, the ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal also includes a wake-up module connected to the data processing unit and the cloud big data server respectively, and the wake-up module is used to generate the wake-up instruction based on the wake-up information sent by the cloud big data server, and transmit the wake-up instruction to the data processing unit.

[0056] In this solution, the data processing unit can wake up itself and the data transparent transmission unit based on the wake-up instruction, so that the acquisition terminal enters the data transmission mode.

[0057] In some specific embodiments of the present application, the cloud big data server is configured to perform the following steps:

[0058] Step 100: Determine the temperature collection scenario;

[0059] Step 101: searching for a configuration parameter set and a temperature processing algorithm corresponding to the temperature acquisition scenario;

[0060] Step 102: Generate the parameter instruction set file according to the configuration parameter set and / or the temperature processing algorithm;

[0061] Step 103: Send the parameter instruction set file to the corresponding data acquisition terminal, wherein the parameter instruction set file includes the network location information of the data acquisition terminal.

[0062] In this scheme, different temperature acquisition scenarios correspond to different temperature acquisition frequencies, temperature processing algorithms and equipment parameters, and a two-dimensional table that can be queried by the cloud big data server can be pre-established according to their corresponding relationship. The parameter instruction set file includes the network location information of the corresponding acquisition terminal unit. After the corresponding big data acquisition terminal receives the parameter instruction set file, its data processing unit first identifies whether the network location information in the parameter instruction set file is the same as its own network location information. If the same, the parameters of the corresponding unit or component are modified according to the parameter instruction set file. As an example, the scanning cycle of the temperature digital sensor is modified according to the temperature acquisition frequency in the parameter instruction set file. In this scheme, under different frequency temperature acquisition scenarios, the cloud big data server is supported to issue parameter instruction set files, so as to directly modify the analog parameter variables of the perception layer. After reporting the data, the acquisition terminal is converted to the data receiving state and maintains the listening server state for a period of time. During this period, the cloud big data server can complete the issuance of relevant parameters according to the prescribed protocol, and the acquisition terminal makes a corresponding response. After completion, the communication process with the cloud big data server is cut off and restored to a low power consumption state.

[0063] The above technical solution provided by the embodiment of the present application has the following advantages compared with the prior art: the low-power intelligent wireless temperature measurement data acquisition system integrates a data transparent transmission unit and a data processing unit at the sensor end. Different from the wireless temperature acquisition architecture of power transmission, each data acquisition terminal serves as a wireless temperature measurement node, and several data acquisition terminals jointly provide data support for the cloud big data server to realize remote communication of temperature data. It has low power consumption and good stability, which is conducive to improving the effectiveness and accuracy of temperature collection.

[0064] As a specific example, see Figure 3 An ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal includes a micro single-chip computer for control, a digital temperature sensor DS18B20 for temperature acquisition peripherals, a micro storage unit for storing data, a data transparent transmission unit for remote data transmission, and a power supply unit for powering the entire device. Each ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal acts as a wireless temperature measurement node, and interacts with the cloud big data server through the data transparent transmission unit to provide data support for cloud services. Among them, the micro single-chip computer uses two ARM core 32-bit data processors, which are used to control the temperature data acquisition peripheral unit (i.e., digital temperature sensor DS18B20) to collect data, control data storage, control data transmission, and monitor the power status of the power supply unit through the embedded single-chip computer program; a high-precision digital temperature sensor DS18B20 is used for efficient temperature data acquisition. Compared with traditional thermocouple temperature sensors, the digital-to-analog conversion process is reduced, the complexity of the peripheral circuit of the entire machine is reduced, and the stability of the overall equipment is improved; the data storage unit includes the core CPU of the micro single-chip computer itself 1 The 26K storage space is used for caching collected data and the external flash memory is used for long-term storage of data, which effectively avoids accidental data loss in the event of abnormal network communication and is conducive to long-term, large-capacity storage of data; the data transmission unit adopts a low-power NB communication module, and a targeted low-power module is developed based on its functional characteristics for data transmission; the power supply unit uses a 2000mah large-capacity battery to provide long-term effective working voltage for the micro-chip microcomputer and peripheral circuits under the condition of ensuring a long-term power supply cycle of not less than 500 days and the normal operation of the micro-chip microcomputer and peripheral circuits. After boosting, it provides long-term effective working voltage for the micro-chip microcomputer and peripheral circuits.

[0065] In this scheme, the temperature sensor DS18B20 sends the collected temperature data to the micro-chip microcomputer (hereinafter referred to as MCU), which processes the temperature data and stores it in the data storage unit. In the normal working mode, the MCU controls the peripheral circuit to enter the sleep state, and only retains some IO ports for the temperature peripheral unit (i.e., the digital temperature sensor DS18B20) to periodically scan the real-time temperature value. The periodically scanned temperature data is cached in the MCU internal storage unit and the peripheral flash memory; in the data transmission mode, the MCU automatically wakes up, turns on the peripheral data transmission unit, and sends the cached data. After completing the transmission and reception of data, the transmission unit continues to enter the sleep state. By reasonably configuring the data scanning and data transmission cycle, the low-power working mode can be maximized, and then a small-capacity and small-volume battery can be used to power the device.

[0066] In this solution, in temperature collection scenarios with different frequencies, the parameter instruction set issued by the cloud big data server is supported, so as to directly modify the analog parameter variables of the perception layer. After reporting the data, the terminal switches to the data receiving state and maintains the cloud big data server monitoring state for a period of time. During this period, the cloud big data server can complete the issuance of relevant parameters according to the prescribed protocol, and the terminal makes a corresponding response. After completion, the communication process with the server is cut off and restored to a low power consumption state. The temperature processing algorithm under multiple scenarios is adopted, and the configuration of relevant parameters of the device in different scenarios can be performed through the remote cloud big data server;

[0067] In this solution, four high-precision digital temperature sensors are used and configured, and a miniaturized structure design is adopted for easy installation. The NB-IOT remote communication method is adopted and integrated into the sensor end, reducing the structure of sensors and remote data terminals required in traditional wireless temperature collection scenarios; low-power micro-chip microcomputers and NB communication modules for remote communication are adopted to reduce the power consumption of the entire machine, and lithium batteries can be used for power supply, solving the high power consumption and long power supply methods in traditional wireless temperature collection scenarios. Highly integrated, integrating collection, data processing and data transmission, the installation and debugging methods are fool-proof, the sensor is installed during patch binding, and the one-button switch type equipment starts, adaptively operates and transmits data remotely.

[0068] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0069] The foregoing is merely a specific embodiment of the present invention, which enables those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. An ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal, characterized in that: It includes: a digital temperature sensor, a data storage unit, a data transparent transmission unit, a data processing unit and a cloud big data server; the digital temperature sensor and the data storage unit are both connected to the data processing unit, the data processing unit is connected to the data transparent transmission unit, and the data transparent transmission unit is connected to the cloud big data server; the data acquisition terminal monomer composed of the digital temperature sensor, the data storage unit, the data transparent transmission unit and the data processing unit serves as a wireless temperature measurement node; The data processing unit is configured to perform the following steps: Step S1: Control the peripheral circuit to enter a dormant state, and only retain some IO ports for receiving real-time temperature data periodically scanned by the digital temperature sensor; Step S2: storing the received temperature data in the internal storage unit of the data processing unit and the data storage unit; Step S3: if a wake-up instruction is received, controlling the data transparent transmission unit to send the cached temperature data to the cloud big data server; Step S4: Control the peripheral circuit to enter the sleep state again and monitor the server status; Step S5: If the parameter instruction set file sent by the cloud big data server is received within a preset time, the parameter instruction set file is modified in response to the parameter instruction set file corresponding to the digital temperature sensor, and returns to step S1; The cloud big data server is configured to perform the following steps: Step 100: Determine the temperature collection scenario; Step 101: searching for a configuration parameter set and a temperature processing algorithm corresponding to the temperature acquisition scenario; Step 102: Generate the parameter instruction set file according to the configuration parameter set and / or the temperature processing algorithm; Step 103: Send the parameter instruction set file to the corresponding data acquisition terminal.

2. The ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal according to claim 1 is characterized in that: The data processing unit is further configured to: if the wake-up instruction is received, control the data transparent transmission unit to send the cached temperature data to the other wireless temperature measurement nodes.

3. The ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal according to claim 1 is characterized in that: It also includes a power module connected to the digital temperature sensor, the data storage unit, the data transparent transmission unit and the data processing unit, and the power module is used to supply power to the digital temperature sensor, the data storage unit, the data transparent transmission unit and the data processing unit.

4. The ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal according to claim 1 is characterized in that: The data transparent transmission unit includes an NB-IoT communication module.

5. The ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal according to claim 1 is characterized in that: The data processing unit includes an ARM processor.

6. The ultra-low power consumption intelligent wireless temperature measurement big data acquisition terminal according to claim 1 is characterized in that: It also includes a wake-up module connected to the data processing unit and the cloud big data server respectively, and the wake-up module is used to generate the wake-up instruction based on the wake-up information sent by the cloud big data server and transmit the wake-up instruction to the data processing unit.

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