CN204543124U - A kind of intelligent remote infusion information measuring instrument and monitoring system thereof - Google Patents
A kind of intelligent remote infusion information measuring instrument and monitoring system thereof Download PDFInfo
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- CN204543124U CN204543124U CN201420544694.0U CN201420544694U CN204543124U CN 204543124 U CN204543124 U CN 204543124U CN 201420544694 U CN201420544694 U CN 201420544694U CN 204543124 U CN204543124 U CN 204543124U
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Abstract
The utility model discloses a kind of intelligent remote infusion information measuring instrument and monitoring system thereof, measuring instrument comprises: one group of front end sensors for Gather and input amount; One analog-digital converter, for being converted to digital signal amount by the analog input amount of front end sensors collection; One CPU center processor, the embedded measurement module worked out based on artificial neural network's structure and innovatory algorithm; One keyboard input devices; One group of outut device; One remote transmission device.The input of the output termination analog-digital converter of one group of described front end sensors, the serial peripheral interface of the output termination CPU center processor of analog-digital converter; Input through keyboard is connected to universal input/output interface; The control output end of CPU center processor connects the input of one group of outut device.This instrument can realize Real-Time Monitoring to patient infusion situation and display, and monitoring result may be used for medicinal liquid flow velocity and the understanding of transfusion end time and grasp.
Description
Technical field
This utility model relates to a kind of intelligent remote infusion information measuring instrument, belongs to field of medical technology, particularly relate to a kind of realize infusing based on modern wireless communication technique detect the intelligence instrument with telemonitoring in real time.
Background technology
Along with the develop rapidly of medical industry, deepening constantly of Medical treatment system, citizen's troxerutine tabtets progressively strengthens, and patient has higher requirement to the technical merit of nursing staff and service quality in the process of seeking medical advice, and faced by nursing staff is the more excessive risk service of a kind of X factor.The closest nurse is contacted as with patient, particularly the nurse of outpatient transfusion room to be faced with now each nurse station sick bed many, the circumstances that nurse is few, thus occurred that nurse can not look after the phenomenon of each patient at any time, cause the generation of some malpracticees, therefore, take the effective precautionary measures, to prevent and the generation that reduces medical tangle becomes the task of top priority.
For this situation, this utility model provides a kind of practical long-range infusion monitoring instrument based on modern wireless communication technique, this utility model is by utilizing sensing technology, date processing, advanced language programming and wireless network communication technology, realize the function that long-range infusion monitoring is reported to the police, object is to realize transfusion automatic monitoring management, improve medical bleeding edge, promote medical worker's work efficiency, strengthen the safety of patient fluid infusion, reduce malpractice occurrence probability, realize medical treatment and nursing automatization and intellectuality.
Utility model content
The purpose of this utility model is to provide a kind of intelligent remote infusion information measuring instrument, it can realize monitoring to medicinal liquid surplus and flowing velocity and display, and can calculate the time that patient fluid infusion terminates in advance, these data are convenient to nurse to the real-time understanding of patient infusion situation and the grasp of transfusion end time.Intelligent remote infusion information measuring instrument of the present utility model comprises:
For the front end sensors of Gather and input amount;
Analog-digital converter, for being converted to digital signal amount by the analog input amount of front end sensors collection;
CPU center processor, the embedded measurement module worked out based on artificial neural network's structure and innovatory algorithm;
Keyboard input devices;
Outut device;
Remote transmission device.
One group of described front end sensors is LOAD CELLS, is responsible for the one group of sensor gathering medicinal liquid current weight, and LOAD CELLS is actually a kind of device quality signal being changed into measurable signal of telecommunication and export;
Described analog-digital converter the analogue signal of sensor acquisition is converted to the digital signal that can be identified by CPU, sends CPU center processor to;
Described CPU center processor is 51 series monolithics, AVR series monolithic or ARM series monolithic;
One group of described outut device is at least one equipment in display device, data storage device, remote transmission device and audio output device;
Described remote transmission device is a kind of bluetooth module for remote transmission data, is convenient to the Real-Time Monitoring of nurse to patient infusion situation.
By the input of the output termination analog-digital converter of this intelligent transfusion measuring instrument front end sensors, the serial peripheral interface of the output termination CPU center processor of analog-digital converter; Input through keyboard is connected to universal input/output interface; The control output end of CPU center processor connects the input of one group of outut device.
The utility model has the advantages that: instrument operation is simple, and be quick on the draw, the result measured is short for lag time, and error is little, reliability is strong, occur transfusion complete and run other fortuitous events such as pin can and alarm, reduce the generation of malpractice.
This utility model devises a set of long-range infusion monitoring warning system for the situation that sufferer is infused.System adopts to be responded to the surplus of single-chip microcomputer to transfusion bottle of LOAD CELLS and this Information Pull bluetooth module is sent to field control level.Single-chip microcomputer for measuring transfusion bottle surplus can carry out automatic calibration, and medicinal liquid dropleting speed and transfusion end time calculate by the adaptive learning that can set by programming and neural network algorithm.During application, the weight of empty bottle falling is arranged to zero point, can be more accurate when measuring the surplus of transfusion bottle like this.In addition, alarm threshold value setting can also be carried out to transfusion bottle, so-called alarm threshold value is arranged, just refer to and a value can be set at single-chip microcomputer, when the weight of transfusion bottle is less than this value and produce and report to the police, this is in order to when transfusion soon terminates time, helps prompting sufferer and nurse, to remove in time or to change transfusion bottle, and this value is exactly threshold value.The critical function that this utility model is hidden is can by the calculating to medicinal liquid dropleting speed, whether normally observe patient infusion, whether there is the generation of running the fortuitous events such as pin, if have, system meeting and alarm, and, system is by calculating, dope the time that patient infusion terminates, this utility model can bring a lot of facility to nurse, also can ensure the safety of patient simultaneously.
Accompanying drawing explanation
Fig. 1 is intelligent remote infusion monitoring instrument principle of compositionality schematic diagram of the present utility model;
Fig. 2 is intelligent remote infusion monitoring instrument neuroid structure of the present utility model and innovatory algorithm establishment schematic diagram;
Fig. 3 is the structural representation of intelligent remote infusion monitoring instrument of the present utility model;
Fig. 4 is the main program flow chart of module;
Fig. 5 is the flow chart of data processing figure of module;
Fig. 6 is mu balanced circuit figure;
Fig. 7 is minimum system schematic diagram;
Fig. 8 is reset circuit of SCM figure;
Fig. 9 is debugging analog circuit figure;
Figure 10 is track to track discharge circuit figure;
Figure 11 is warning circuit figure;
Figure 12 is LCD human-computer interaction interface display circuit figure;
Figure 13 is LCD backlight control circuit figure;
Figure 14 is blue tooth wireless communication circuit diagram;
Figure 15 is input through keyboard circuit design drawing.
Detailed description of the invention
As shown in Figure 1, this utility model intelligent remote infusion monitoring instrument comprises: for the front end sensors of Gather and input amount; Analog-digital converter, for being converted to digital signal amount by the analog input amount of front end sensors collection; CPU center processor, the embedded measurement module based on artificial neural network's structure; Keyboard input devices; Outut device, remote transmission device.The input of the output termination analog-digital converter of front end sensors, the serial peripheral interface of the output termination CPU center processor of analog-digital converter; Input through keyboard is connected to universal input/output interface; The control output end of CPU center processor connects the input of one group of outut device.
Described front end sensors is LOAD CELLS, can gather the sensor of the real-time surplus of medicinal liquid.
The embedded measurement module based on artificial neural network's structure in described CPU center processor; its parameter choose scheme is as follows: in infusion process; as long as real-time understanding to patient infusion situation and control just can be realized to medicinal liquid weight measurement; it is required to determine that it the relation of the real-time weight of medicinal liquid and dropleting speed and end time of infusing; establish parameter and weights etc., to guarantee that nurse correctly and timely can grasp the transfusion condition of patient.
The artificial neural network's soft-sensing model structure shown in Fig. 2 is determined according to analysis above, and on the method basis based on the basic function kind of adaptive learning algorithm, adjusting thresholds, the weights, the threshold adjustment methods that propose to have momentum term to adjust or have the weights of conjugate gradient method, the algorithm of adjusting thresholds of momentum term and adjusting learning rate, the latter is good simultaneously.
As shown in Figure 2, the basic thought of BP Algorithm is: learning process is made up of the forward-propagating of signal and error back propagation two processes.During forward-propagating, input amendment imports into from input layer, after each hidden layer successively processes, is transmitted to output layer.If the actual output of output layer and desired output are not inconsistent, then proceed to the back-propagation phase of error.Error-duration model be by output error with some form by hidden layer to input layer successively anti-pass, and give all unit of each layer by error distribution, thus obtain the error signal of each layer unit, this error signal is namely as the foundation of each unit weights of correction.Each layer weighed value adjusting process of this signal forward-propagating and error back propagation is carried out again and again.The process of weighed value adjusting is also the process of e-learning, till this process is continued until the acceptable error of network.BP algorithm is according to Delta learning rules, is based upon on gradient descent method basis.Shown in BP learning algorithm of the present utility model is specific as follows:
Input training sample pair, calculates each layer and exports:
With current sample pair
,
, to vectorial array
,
assignment,
represent the number of input layer,
represent the neuronic number of output layer, represent sample number.
The neuronic output of hidden layer jth is:
The neuronic output of output layer kth is:
represent input layer
to hidden neuron
between connection weights,
represent that hidden neuron arrives
output layer neuron
between connection weights.M represents the number of hidden nodes.For ease of calculating, hidden layer and the neuronic threshold calculations of output layer are existed
,
among weights.
The output error of computing network adopts batch training method training network, then total error is:
Calculate each layer error signal:
Adjust each layer weights:
Fig. 3 gives this utility model intelligent remote infusion monitoring instrument and specifically forms, and its hardware configuration comprises following part: power module, MCU minimum system, LOAD CELLS, alarm, LCD display module, bluetooth module and input through keyboard module.
1, power module
This instrument adopts battery powered, relate to multiple module such as such as bluetooth, LCD etc., and supply voltage needed for each module is all not identical, therefore needs to consider that multiple voltage stabilizing exports in hardware circuit design.To single-chip microcomputer 5V power supply, adopt AMS1117 voltage stabilizing chip, this chip is a forward low dropout voltage regulator; 1.2V is reduced at 1A current down; 5.0V voltage stabilizing has the precision of 1%, inner integrated overtemperature protection and current-limiting circuit, is the optimum selection of battery powered and portable computer.Mu balanced circuit design as shown in Figure 5.
2, MCU minimum system (for Freescale single-chip microcomputer)
Single-chip minimum system comprises MC9S12XS128 chip, reset circuit of SCM and BDM(Background Debugging Mode) debugging mode circuit.
Instrument process core is the MC9S12XS128 chip of Freescale company.The central processor CPU 12X of S12X series monolithic is that 16 MCU, CPU operating frequencies reach as high as 80MHz.Single-chip microcomputer use external crystal-controlled oscillation 16MHz, utilize the distinctive phaselocked loop of Freescale (PLL) frequency doubling technology, higher single-chip microcomputer internal bus clock can be produced, reach as high as 40MHz, this is this instrument high-speed computation, mass data process provide basis.Selected single-chip microcomputer has the RAM of Flash and 8KB of 128KB, and the writing of program segment that abundant sheet memory space is large space provides possibility.There are 16 passages single-chip microcomputer inside up to A/D acquisition module, the timer module TIM of 12 precision, the SCI communication interface that the input capture of 8 16 bit ports and exporting compares, 2 Serial Peripheral Interface (SPI) module SPI and two is supported full duplex or half-duplex mode of operation.Minimum system schematic diagram as shown in Figure 6.
Reset circuit of SCM adopts IMP811 chip, and this chip adopts the 5V supply voltage the same with single-chip microcomputer.This chip major function is to provide the resetting voltage of a low level 2.63V, and open by the resistive isolation in a 4.7K Europe between the reset output terminal of chip and single-chip microcomputer, resistance plays the effect of current-limiting protection.Reset circuit of SCM as shown in Figure 7.
Minimum system adopts external perimysium reference crystal oscillator 16MHz as with reference to clock, can prevent the interference that the change of the external factors such as temperature brings Single Chip Microcomputer (SCM) system operating frequency like this.Special handling has been carried out at the reference voltage source place of AD acquisition port, all have employed 0 ohmage at its positive input and negative input to isolate, adopt the electric capacity filtering High-frequency Interference of a 0.1uF simultaneously, thus allow the reference voltage of AD mouth and minimum system supply voltage keep apart to make it more stable.Adopt the single line background debug mode interface (BKGD) of Freescale, the breakpoint ability of enhancing, allows single power-off to arrange on-line debugging.The BDM mouth that minimum system adopts Freescale to issue, facilitate debugging and the programming of program, DBM as shown in Figure 8.
3, LOAD CELLS
Instrument four line sensors used, its equivalent-circuit model is a resistance bridge, sensor internal is an elastic force foil gauge, according to the difference of institute's weighting material, foil gauge degree of crook is different, the form of expression is that the resistance value of inner bridge circuit is different, adds one-level rail and isolates the voltage exported (rail-to-rail) rail amplifier AD623AR, be then input to the AD mouth of single-chip microcomputer at the outfan of sensor.Track to track discharge circuit as shown in Figure 9.
4, alarm
The effect of instrument is the weight detecting medicine in infusion bottle in real time, when liquid weight is less than the threshold value of setting, can send chimes of doom, reminds related personnel to be for further processing.Warning circuit uses a triode and a buzzer, controls with I/O pin of single-chip microcomputer, allows triode operation realize its switching characteristic in saturation and is used for controlling buzzer and speaks.Warning circuit figure as shown in Figure 10.
5, LCD display module
When single-chip microcomputer receives data by sensor, in order to Various types of data can be shown in real time, a specialized designs LCD liquid crystal display circuit.LCD display is divided into two parts, and first is data display unit, and second is LCD backlight.The display of LCD data needs to transmit data with 8 bit data mouths, receives PA0 ~ PA7 port of single-chip microcomputer respectively, carries out some simultaneously to reset and cls operates and uses several pins of all the other single-chip microcomputers to LCD.LCD power adopt scheme power the same with single-chip microcomputer, be same mu balanced circuit.Consider that this instrument may use under the environment that periphery brightness is lower, if do not consider LCD backlight, the realization of man-machine interaction is more difficult, therefore backlight control circuit has been added to LCD liquid crystal display screen, by a small-power MOSFET element, utilized its switching characteristic to control backlight LCD on and off.Consider the characteristic of equipment low-power consumption, therefore need to carry out some process on software and algorithm, the MOSFET of control LCD can not be allowed always to be in conducting state, otherwise will greatly improve the energy expenditure of LCD backlight, cause this instrument can not continuous firing for a long time.The display of LCD human-computer interaction interface, LCD backlight control circuit are as shown in Figure 11, Figure 12.
6, bluetooth module
In a monitoring system, if come to carry out data transmission with master system with wireless module wiring can be saved, a lot of convenience is brought to this handheld instrument.This instrument adopts blue tooth wireless communication mode to carry out short-range data transmission.Bluetooth module adopts above-mentioned 3.3V Power supply, only needs two other pin UART_TXD with UART_RXD to be connected with RXD0 with TXD0 of single-chip microcomputer respectively, and in Single Chip Microcomputer (SCM) program, then carry out corresponding configuration can realize radio function.In order to directly find out that bluetooth is with or without normally sending data, devise a LED indicating circuit at its LED end, when bluetooth is in data transmission or receives, the speed of certain frequency is glimmered by this LED.Blue tooth wireless communication circuit diagram as shown in figure 13.
7, input through keyboard module
In man-machine interaction except above-mentioned LCD display translation, also need the part of an information input, this part have employed 4 × 4 keyboard Designing schemes, adopts the I/O mouth input/output function of single-chip microcomputer pin, adopts general rank scanning mode to read the position of button.Input through keyboard circuit diagram as shown in figure 14.
Single-chip microcomputer obtains key assignments by supervisory keyboard rank scanning, carries out analysis and treament, judges button, obtain the function of its correspondence to key assignments, performs corresponding operating.
As shown in Figure 4 and Figure 5, when instrument is started working, CPU can first close total interruption, prevent from being interrupted during program initialization, program is carried out after a series of initialization terminates, open total interruption, then apply keyboard to reset, the operations such as setting threshold value, after setting completed, LOAD CELLS starts image data, signal is sent to CPU through AD conversion, obtained numerical value compares with setting threshold value by CPU, if be less than setting threshold value, then buzzer starts to report to the police, and can along with the minimizing of medicinal liquid, sound frequency can be more and more higher, bluetooth radio module also can send image data to nurse station monitoring client simultaneously, make nurse just can carry out Real-Time Monitoring to patient infusion situation in nurse station.
The various embodiments described above can not depart from some changes in addition under scope of the present utility model, thus above explanation to comprise and the structure shown in accompanying drawing should be considered as exemplary, and be not used to limit claim of the present utility model.
Claims (5)
1. an intelligent remote infusion information measuring instrument, is characterized in that comprising:
For the front end sensors of Gather and input amount;
Analog-digital converter, for being converted to digital signal amount by the analog input amount of front end sensors collection;
CPU center processor, the embedded measurement module worked out based on artificial neural network's structure and innovatory algorithm;
Keyboard input devices;
Outut device;
Remote transmission device;
Universal input/output interface;
The input of the analog-digital converter described in output termination of one group of described front end sensors, the serial peripheral interface of the CPU center processor described in output termination of described analog-digital converter; Described keyboard input devices is connected to described universal input/output interface; The control output end of described CPU center processor connects the input of one group of described outut device.
2. intelligent remote infusion information measuring instrument according to claim 1, is characterized in that: described one group of front end sensors is for gathering the real-time weight sensor of medicinal liquid.
3. intelligent remote infusion information measuring instrument according to claim 1, is characterized in that: one group of described outut device is display device, at least one equipment in audio output device and Bluetooth wireless transmission equipment.
4. intelligent remote infusion information measuring instrument according to claim 1, is characterized in that: described CPU center processor is 51 series monolithics, AVR series monolithic, ARM series monolithic or Freescale single-chip microcomputer.
5. according to the intelligent remote infusion information measuring instrument of Claims 1-4 described in one of them, it is characterized in that: it also comprises: with the single-chip microcomputer of LOAD CELLS, described single-chip microcomputer adjusts the surplus of bottle respond to and this Information Pull bluetooth module is sent to field control level to transfusion.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
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CN105194766A (en) * | 2015-08-14 | 2015-12-30 | 杭州金源生物技术有限公司 | Intelligent automatic insulin injection pen |
CN105536105A (en) * | 2016-03-14 | 2016-05-04 | 上海理工大学 | Infusion set monitoring system and monitoring method |
CN107243098A (en) * | 2017-07-04 | 2017-10-13 | 九江学院 | It is a kind of to detect control device and detection method that venous transfusion runs pin |
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2014
- 2014-09-22 CN CN201420544694.0U patent/CN204543124U/en active Active
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105194766A (en) * | 2015-08-14 | 2015-12-30 | 杭州金源生物技术有限公司 | Intelligent automatic insulin injection pen |
CN105194766B (en) * | 2015-08-14 | 2019-11-19 | 杭州金源生物技术有限公司 | Intelligent automatic insulin injection pen |
CN105536105A (en) * | 2016-03-14 | 2016-05-04 | 上海理工大学 | Infusion set monitoring system and monitoring method |
CN107243098A (en) * | 2017-07-04 | 2017-10-13 | 九江学院 | It is a kind of to detect control device and detection method that venous transfusion runs pin |
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