A big data information prediction control system

Abstract

The present invention discloses a big data information pre-judgment control system, comprising a signal acquisition module, an information transmission module, a signal detection module and a database, and a control system terminal. The signal acquisition module is characterized in that the signal acquisition module uses mobile equipment and sensors to collect big data information in real time, and then sends it to the control system terminal through the information transmission module. The control system terminal updates the database and builds a model to pre-judgment the information. The signal sampling module also comprises a signal judgment module. The signal sampling module samples the signal output by the signal acquisition module in real time. The signal judgment module receives and detects the sampling signal output by the signal sampling module. The signal judgment module outputs a signal and sends it to the control system terminal. The control system terminal calibrates the database according to the output signal of the signal judgment module, and reconstructs the model to pre-judgment the information.

Description

Technical Field

[0001] The present invention relates to the technical field of information prediction control, and in particular to a big data information prediction control system. Background Art

[0002] Big data information prediction is the core application of big data, which expands the traditional meaning of "prediction" to "current measurement". The advantage of big data prediction is that it transforms a very difficult prediction problem into a relatively simple description problem, which is simply unattainable with traditional small data sets. Especially in the current information prediction technology, the accuracy of big data information is even more needed.

[0003] Big data information prediction is based on building models based on complex databases and predicting information through models. In actual applications, big data information prediction relies on the Internet, mobile devices and sensor technology. When mobile devices or sensors are disturbed by the environment, the information collected by the big data information prediction control system will be biased, causing problems in updating the database and flaws in building new models, which may eventually lead to reduced accuracy in big data information prediction. Summary of the invention

[0004] In view of the above situation, the purpose of the present invention is to provide a big data information prediction control system, which can monitor the big data information transmission signal in real time and make timely adjustments according to the abnormal state of the signal.

[0005] The technical solution is a big data information prediction control system, which includes a signal acquisition module, an information transmission module, a signal detection module and a database, and a control system terminal. The signal acquisition module uses mobile devices and sensors to collect big data information in real time, and then sends it to the control system terminal through the information transmission module. The control system terminal updates the database and builds a model for information prediction.

[0006] It also includes a signal sampling module and a signal judgment module. The signal sampling module samples the signal output by the signal acquisition module in real time. The signal judgment module receives and detects the sampling signal output by the signal sampling module. The signal judgment module outputs a signal and sends it to the control system terminal. The control system terminal calibrates the database according to the signal output by the signal judgment module and reconstructs the model for information prediction.

[0007] The signal judgment module includes a buffer input circuit, a subtraction calibration circuit, and a voltage stabilization output circuit. The buffer input circuit includes an op amp AR1. The in-phase input terminal of the op amp AR1 is connected to one end of the resistor R1, and the other end of the resistor R1 is connected to the sampling signal input port. The sampling signal input port is the output port of the signal sampling module. The output terminal of the op amp AR1 is connected to the inverting input terminal of the op amp AR1 and one end of the resistor R2.

[0008] Due to the adoption of the above technical solution, the present invention has the following advantages compared with the prior art:

[0009] 1. When the sampling signal is abnormal, the operational amplifier AR3 outputs a positive signal. In order to further judge the abnormal situation, the second reference signal is input into the inverting input terminal of the operational amplifier AR4. The second reference signal is an abnormal controllable signal. When the sampling signal is abnormal and controllable, a signal is sent to the control system terminal, indicating that the mobile device or sensor is less affected by the environment. The control system terminal can solve the influence of interference by adjusting the frequency of the information transmission module or changing the signal transmission channel, and the database is updated normally to build a model for information prediction.

[0010] 2. When the sampling signal is abnormal and out of control, the diode D3 triggers the signal transmitter E2 to work and send a signal to the control system terminal. The control system terminal locates the abnormal mobile device or sensor, then stops receiving the signal and notifies the relevant personnel to repair it immediately. When the mobile device or sensor eliminates the environmental interference normally, the control system terminal receives the signal again.

[0011] 2. In order to prevent the sampling signal from being abnormally out of control and the output signal of the operational amplifier AR4 from being too large, the transistor Q1 and the adjustable resistor R4 are used to form a protection circuit. When the output signal of the operational amplifier AR1 is abnormally too large, the transistor Q1 is turned on, and the potential of the inverting input terminal of the operational amplifier AR4 is increased through the adjustable resistor R8, preventing the output signal of the operational amplifier AR4 from being too large and breaking through the diode D4, thereby playing a role in protecting the circuit. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 This is a circuit diagram of a big data information prediction control system of the present invention. DETAILED DESCRIPTION

[0013] The above and other technical contents, features and effects of the present invention are described in detail below with reference to the attached Figure 1 The detailed description of the embodiments will clearly show that the structural contents mentioned in the following embodiments are all based on the drawings in the specification.

[0014] Embodiment 1, in order to solve the problem that when the mobile device or sensor is disturbed by the environment, the information collected by the big data information prediction control system will be biased, resulting in problems in updating the database, and defects in building a new model, and even eventually leading to a decrease in the accuracy of big data information prediction, it includes a signal acquisition module, an information transmission module, a signal detection module and a database, and a control system terminal. The signal acquisition module uses mobile devices and sensors to collect big data information in real time, and then sends it to the control system terminal through the information transmission module. The control system terminal updates the database and builds a model for information prediction; it also includes a signal sampling module and a signal judgment module. The signal sampling module samples the signal output by the signal acquisition module in real time, the signal judgment module receives and detects the sampling signal output by the signal sampling module, the signal judgment module outputs a signal and sends it to the control system terminal, the control system terminal calibrates the database according to the signal output by the signal judgment module, and rebuilds the model for information prediction, wherein the signal acquisition module selects a signal sampler according to the actual application situation.

[0015] The signal judgment module includes a buffer input circuit, a subtraction calibration circuit, and a voltage stabilization output circuit. The buffer input circuit uses an op amp AR1 to buffer the sampling signal. The in-phase input terminal of the op amp AR1 is connected to one end of the resistor R1, and the other end of the resistor R1 is connected to the sampling signal input port. The sampling signal input port is the output port of the signal sampling module. The output terminal of the op amp AR1 is connected to the inverting input terminal of the op amp AR1 and one end of the resistor R2.

[0016] In order to detect whether the sampling signal is abnormal, the first reference signal is first used for comparison. The first reference signal is the rated standard signal of the sampling signal. Abnormal signals will be higher than the rated standard signal. The second reference signal compares the abnormal value of the sampling signal to accurately judge the abnormal height, which is convenient for the control system terminal to make targeted feedback. The first reference signal and the second reference signal signal judgment module are extracted from the database.

[0017] The subtraction calibration circuit first uses op amps AR2 and AR3 to form a subtraction circuit. When a sampling signal is input, op amp AR1 buffers the signal and then inputs it into the in-phase input terminal of op amp AR3. The first reference signal is amplified by op amp AR2 in-phase and then input into the inverting input terminal of op amp AR3. Op amp AR3 calculates the difference between the first reference signal and the sampling signal. When the sampling signal is normal, the voltage value of the sampling signal is lower than the first reference signal, and op amp AR3 outputs a negative signal. At this time, the signal transmitter E1 is triggered by diode D1 to work and send a signal to the control system terminal. The control system terminal normally updates the database and builds a model for information prediction.

[0018] When the sampling signal is abnormal, the operational amplifier AR3 outputs a positive signal. At this time, the diode D1 is forward-cut off, the signal transmitter E1 does not work, and the capacitor C1 plays the role of protecting the circuit. In order to further judge the abnormal situation, the second reference signal is input into the inverting input terminal of the operational amplifier AR4. The second reference signal is an abnormal controllable signal. When the sampling signal is abnormal and controllable, the operational amplifier AR4 outputs a negative signal. After being amplified in phase by the operational amplifier AR5, the signal transmitter E3 is triggered by the diode D4 to work and send a signal to the control system terminal, indicating that the mobile device or sensor is less disturbed by the environment. The control system terminal can solve the influence of interference by adjusting the frequency of the information transmission module or changing the signal transmission channel, and update the database normally to build a model for information prediction.

[0019] When the sampling signal is abnormal and out of control, op amp AR4 outputs a positive signal, which is amplified in phase by op amp AR5 and then triggered by diode D3 to work as signal transmitter E2, sending a signal to the control system terminal. The control system terminal locates the abnormal mobile device or sensor, stops receiving signals, and notifies relevant personnel to repair it immediately. When the mobile device or sensor eliminates environmental interference normally, the control system terminal receives the signal again.

[0020] In order to prevent the sampling signal from being abnormally out of control and the output signal of the operational amplifier AR4 from being too large, a protection circuit is formed by transistor Q1 and adjustable resistor R4. By adjusting the resistance value of the adjustable resistor R4, one tenth of the output signal of the operational amplifier AR1 is triggered by the transistor Q1. When the output signal of the operational amplifier AR1 is abnormally too large, the transistor Q1 is turned on, and the potential of the inverting input terminal of the operational amplifier AR4 is increased through the adjustable resistor R8, preventing the output signal of the operational amplifier AR4 from being too large and breaking through the diode D4, thereby protecting the circuit.

[0021] Specifically, the in-phase input terminal of the operational amplifier AR2 is connected to one end of the resistor R9, the other end of the resistor R9 is connected to the first reference signal input port, the inverting input terminal of the operational amplifier AR2 is connected to the resistor R10 and one end of the resistor R11, the other end of the resistor R11 is grounded, the output terminal of the operational amplifier AR2 is connected to the other end of the resistor R11 and one end of the resistor R12, the other end of the resistor R12 is connected to the inverting input terminal of the operational amplifier AR3 and one end of the resistor R13, the in-phase input terminal of the operational amplifier AR3 is connected to one end of the resistor R3, the other end of the resistor R3 is connected to one end of the resistor R2 and One end of the adjustable resistor R4 and the other end of the adjustable resistor R4 are connected to the base of the transistor Q1 and one end of the resistor R5. The emitter of the transistor Q1 is connected to the other end of the resistor R5 and one end of the resistor R7 and one end of the adjustable resistor R8. The other end of the resistor R7 is grounded. The collector of the transistor Q1 is connected to one end of the resistor R6. The other end of the resistor R6 is connected to the power supply +3V. The output end of the op amp AR3 is connected to the resistor R14, one end of the capacitor C1 and the other end of the resistor R13 and the cathode of the diode D1. The other end of the capacitor C1 and the anode of the diode D1 are connected to the signal emitter. The voltage-stabilized output circuit comprises an amplifier AR5, the in-phase input terminal of the amplifier AR5 is connected to one end of the resistor R18, the other end of the resistor R18 is connected to the output terminal of the amplifier AR4, the other end of the resistor R18 is connected to the output terminal of the amplifier AR4, and the other end of the resistor R18 is connected to the output terminal of the amplifier AR4. The output end, the inverting input end of the operational amplifier AR5 is connected to the resistor R19, one end of the resistor R20, the other end of the resistor R19 is grounded, the output end of the operational amplifier AR5 is connected to the other end of the resistor R20 and one end of the resistor R21, the cathode of the voltage regulator D2, the anode of the voltage regulator D2 is grounded, the other end of the resistor R21 is connected to the anode of the diode D3, the cathode of the diode D4 and the capacitor C2, one end of the capacitor C3, the cathode of the diode D3 is connected to the other end of the capacitor C2 and the signal transmitter E2, the anode of the diode D4 is connected to the other end of the capacitor C3 and the signal transmitter E3.

[0022] When the present invention is used specifically, in order to detect whether the sampling signal is abnormal, the first reference signal is first used for comparison. The first reference signal is the rated standard signal of the sampling signal. Abnormal signals will be higher than the rated standard signal. The second reference signal is used to compare the abnormal value of the sampling signal to accurately determine the abnormal height, which is convenient for the control system terminal to make targeted feedback. The first reference signal and the second reference signal signal judgment module are extracted from the database.

[0023] The subtraction calibration circuit first uses op amps AR2 and AR3 to form a subtraction circuit. When a sampling signal is input, op amp AR1 buffers the signal and then inputs it into the in-phase input terminal of op amp AR3. The first reference signal is amplified by op amp AR2 in-phase and then input into the inverting input terminal of op amp AR3. Op amp AR3 calculates the difference between the first reference signal and the sampling signal. When the sampling signal is normal, the voltage value of the sampling signal is lower than the first reference signal, and op amp AR3 outputs a negative signal. At this time, the signal transmitter E1 is triggered by diode D1 to work and send a signal to the control system terminal. The control system terminal normally updates the database and builds a model for information prediction.

[0024] When the sampling signal is abnormal, the operational amplifier AR3 outputs a positive signal. At this time, the diode D1 is forward-cut off, the signal transmitter E1 does not work, and the capacitor C1 plays the role of protecting the circuit. In order to further judge the abnormal situation, the second reference signal is input into the inverting input terminal of the operational amplifier AR4. The second reference signal is an abnormal controllable signal. When the sampling signal is abnormal and controllable, the operational amplifier AR4 outputs a negative signal. After being amplified in phase by the operational amplifier AR5, the signal transmitter E3 is triggered by the diode D4 to work and send a signal to the control system terminal, indicating that the mobile device or sensor is less disturbed by the environment. The control system terminal can solve the influence of interference by adjusting the frequency of the information transmission module or changing the signal transmission channel, and update the database normally to build a model for information prediction.

[0025] When the sampling signal is abnormal and out of control, op amp AR4 outputs a positive signal, which is amplified in phase by op amp AR5 and then triggered by diode D3 to work as signal transmitter E2, sending a signal to the control system terminal. The control system terminal locates the abnormal mobile device or sensor, stops receiving signals, and notifies relevant personnel to repair it immediately. When the mobile device or sensor eliminates environmental interference normally, the control system terminal receives the signal again.

[0026] The above is a further detailed description of the present invention in combination with a specific implementation method, and it cannot be determined that the specific implementation of the present invention is limited to this; for technical personnel in the technical field to which the present invention belongs and related technical fields, based on the technical solution of the present invention, the expansion and replacement of operating methods and data should all fall within the protection scope of the present invention.

Claims

1. A big data information pre-judgment control system, comprising a signal acquisition module, an information transmission module, a signal detection module and a database, and a control system terminal, characterized in that: The signal acquisition module uses mobile devices and sensors to collect big data information in real time, and then sends it to the control system terminal through the information transmission module. The control system terminal updates the database and builds a model to predict information; It also includes a signal sampling module and a signal judgment module. The signal sampling module samples the signal output by the signal acquisition module in real time. The signal judgment module receives and detects the sampling signal output by the signal sampling module. The signal judgment module outputs a signal and sends it to the control system terminal. The control system terminal calibrates the database according to the signal output by the signal judgment module and reconstructs the model for information prediction. The signal judgment module includes a buffer input circuit, a subtraction calibration circuit, and a voltage stabilization output circuit. The buffer input circuit includes an op amp AR1. The in-phase input terminal of the op amp AR1 is connected to one end of a resistor R1. The other end of the resistor R1 is connected to a sampling signal input port. The sampling signal input port is an output port of the signal sampling module. The output terminal of the op amp AR1 is connected to the inverting input terminal of the op amp AR1 and one end of a resistor R2. The subtraction calibration circuit includes an op amp AR2, wherein the in-phase input terminal of the op amp AR2 is connected to one end of a resistor R9, the other end of the resistor R9 is connected to a first reference signal input port, the inverting input terminal of the op amp AR2 is connected to resistors R10 and one end of a resistor R11, the other end of the resistor R11 is grounded, the output terminal of the op amp AR2 is connected to the other end of the resistor R11 and one end of a resistor R12, the other end of the resistor R12 is connected to the inverting input terminal of the op amp AR3 and one end of a resistor R13, the in-phase input terminal of the op amp AR3 is connected to one end of a resistor R3, the other end of the resistor R3 is connected to one end of a resistor R2 and one end of an adjustable resistor R4, the other end of the adjustable resistor R4 is connected to the base of a transistor Q1 and one end of a resistor R5, the emitter of the transistor Q1 is connected to the other end of the resistor R5 and One end of resistor R7 and one end of adjustable resistor R8, the other end of resistor R7 is grounded, the collector of transistor Q1 is connected to one end of resistor R6, the other end of resistor R6 is connected to power supply +3V, the output end of op amp AR3 is connected to resistor R14, one end of capacitor C1 and the other end of resistor R13, the cathode of diode D1, the other end of capacitor C1 and the anode of diode D1 are connected to signal transmitter E1, the other end of resistor R4 is connected to one end of resistor R15 and the non-inverting input end of op amp AR4, the other end of resistor R15 is grounded, the inverting input end of op amp AR4 is connected to the other end of adjustable resistor R8 and one end of resistor R16 and resistor R17, the other end of resistor R16 is connected to the second reference signal input port, and the output end of op amp AR4 is connected to the other end of resistor R17.

2. According to claim 1, a big data information prediction control system is characterized in that: The voltage-stabilizing output circuit includes an operational amplifier AR5, wherein the in-phase input terminal of the operational amplifier AR5 is connected to one end of a resistor R18, the other end of the resistor R18 is connected to the output terminal of the operational amplifier AR4, the inverting input terminal of the operational amplifier AR5 is connected to resistors R19 and one end of a resistor R20, the other end of the resistor R19 is grounded, the output terminal of the operational amplifier AR5 is connected to the other end of the resistor R20 and one end of a resistor R21, and the cathode of a voltage-stabilizing tube D2, the anode of the voltage-stabilizing tube D2 is grounded, the other end of the resistor R21 is connected to the anode of a diode D3, the cathode of a diode D4, and a capacitor C2 and one end of a capacitor C3, the cathode of the diode D3 is connected to the other end of the capacitor C2 and a signal transmitter E2, and the anode of the diode D4 is connected to the other end of the capacitor C3 and the signal transmitter E3.

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