Measurement method based on sensor, diagnosis and treatment equipment, storage medium and program product

Abstract

The invention provides a sensor-based measurement method, diagnosis and treatment equipment, a storage medium and a program product. The measurement method comprises the following steps: acquiring a first environment temperature of a first environment acquired based on a first temperature sensor and a characteristic parameter measurement value of a second temperature sensor at the first environment temperature; acquiring a characteristic parameter measurement value of the second temperature sensor in the first state of the second environment, and determining the temperature of the second environment in the first state based on the characteristic parameter measurement value; establishing a first calibration curve based on the first environment temperature, the characteristic parameter measurement value of the second temperature sensor at the first environment temperature, the characteristic parameter measurement value in the first state and the temperature in the first state; acquiring a characteristic parameter measurement value of a second temperature sensor in a second state of a second environment; and determining the temperature of the second environment in the second state based on the characteristic parameter measurement value in the second state and the first calibration curve.

Description

Technical Field

[0001] The present disclosure relates to technical fields such as medical diagnostic equipment, and in particular to a sensor-based measurement method, diagnostic equipment, storage medium, and program product. Background Art

[0002] The perfusion and suction platform can be used for minimally invasive endoscopic surgery. The perfusion and suction platform can include sheath pressure measurement, intracavity pressure measurement and other configurations, and different configurations can be adapted to different patient conditions.

[0003] The perfusion and suction platforms in the prior art are generally configured to measure pressure using a sheath, but do not have a configuration for measuring the temperature in the cavity.

[0004] The existing configuration cannot accurately confirm the temperature and pressure in the patient's cavity. During the operation, if there is a laser heat source, it is easy to cause thermal damage to the patient. Summary of the invention

[0005] The present disclosure provides a sensor-based measurement method, diagnostic equipment, storage medium, and program product.

[0006] According to one aspect of the present disclosure, a sensor-based measurement method is provided, comprising: Acquire a first ambient temperature of a first environment acquired by a first temperature sensor and a characteristic parameter measurement value of a second temperature sensor at the first ambient temperature; Acquire a characteristic parameter measurement value of the second temperature sensor in the second environment in the first state and determine the temperature of the second environment in the first state based on the characteristic parameter measurement value in the first state; Establishing a relationship curve between characteristic parameter measurement value and temperature as a first calibration curve based on the first ambient temperature, the characteristic parameter measurement value of the second temperature sensor at the first ambient temperature, the characteristic parameter measurement value in the first state, and the temperature in the first state; Acquire a characteristic parameter measurement value of the second temperature sensor in a second state of the second environment; The temperature of the second environment in the second state is determined based on the characteristic parameter measurement value in the second state and the first calibration curve.

[0007] According to the sensor-based measurement method of at least one embodiment of the present disclosure, the first ambient temperature of the first environment is obtained by taking an average value based on multiple measurements.

[0008] According to at least one embodiment of the present disclosure, the sensor-based measurement method further includes: Acquire a characteristic parameter measurement value of the pressure sensor in a second state of the second environment; determining a characteristic parameter calibration amount based on the determined temperature in the second state, the first ambient temperature, and the first calibration curve; Compensating a characteristic parameter measurement value of the pressure sensor in the second state of the second environment based on the characteristic parameter calibration amount to obtain a compensated characteristic parameter measurement value; A pressure value corresponding to the compensated characteristic parameter measurement value is determined as the pressure value measured by the pressure sensor in the second state of the second environment.

[0009] According to the sensor-based measurement method of at least one embodiment of the present disclosure, the first temperature sensor is an NTC temperature sensor; The second temperature sensor and the pressure sensor are both resistive sensors, or the second temperature sensor and the pressure sensor are both optical fiber Fabry-Perot cavity sensors.

[0010] According to the sensor-based measurement method of at least one embodiment of the present disclosure, the pressure sensor and the second temperature sensor have the same characteristic parameter, which is the length of the Fabry-Perot cavity.

[0011] According to the sensor-based measurement method of at least one embodiment of the present disclosure, determining the characteristic parameter calibration amount based on the determined temperature in the second state, the first ambient temperature and the first calibration curve includes: A characteristic parameter value corresponding to the temperature in the second state on the first calibration curve is subtracted from a characteristic parameter value corresponding to the first ambient temperature on the first calibration curve to obtain a characteristic parameter difference value as the characteristic parameter calibration amount.

[0012] According to the sensor-based measurement method of at least one embodiment of the present disclosure, compensating the characteristic parameter measurement value of the pressure sensor in the second state of the second environment based on the characteristic parameter calibration amount to obtain the compensated characteristic parameter measurement value includes: The characteristic parameter measurement value of the pressure sensor in the second state of the second environment minus the characteristic parameter calibration amount is used as the compensated characteristic parameter measurement value.

[0013] According to another aspect of the present disclosure, there is provided a diagnostic and treatment device, comprising: A host, the host comprising a main control board and a first temperature sensor, the first temperature sensor being used to measure a first ambient temperature of a first environment; An endoscope, wherein the endoscope is provided with a second temperature sensor and a pressure sensor, wherein the second temperature sensor is used to measure the internal temperature of a target cavity, and the pressure sensor is used to measure the internal pressure of the target cavity, wherein the target cavity is a second environment; The main control board is connected in communication with the first temperature sensor to obtain a first ambient temperature measured by the first temperature sensor, and the main control board is connected in communication with the second temperature sensor and the pressure sensor to obtain the temperature and pressure in the cavity; The temperature measurement of the second temperature sensor is calibrated based on the first ambient temperature measured by the first temperature sensor, and the pressure measurement of the pressure sensor is calibrated based on the temperature in the cavity measured by the second temperature sensor.

[0014] According to at least one embodiment of the present disclosure, the diagnostic and treatment device further includes: A cavity expansion device, which provides cavity expansion fluid to the target cavity based on a control signal of the main control board; A collecting device is used to collect the liquid or solid-liquid mixture in the target cavity based on the control signal of the main control board.

[0015] According to at least one embodiment of the present disclosure, the diagnostic and treatment device calibrates the temperature measurement of the second temperature sensor based on the first ambient temperature measured by the first temperature sensor, including: Acquire a first ambient temperature of a first environment acquired by a first temperature sensor and a characteristic parameter measurement value of a second temperature sensor at the first ambient temperature; Acquire a characteristic parameter measurement value of the second temperature sensor in the second environment in the first state and determine the temperature of the second environment in the first state based on the characteristic parameter measurement value in the first state; Establishing a relationship curve between characteristic parameter measurement value and temperature as a first calibration curve based on the first ambient temperature, the characteristic parameter measurement value of the second temperature sensor at the first ambient temperature, the characteristic parameter measurement value in the first state, and the temperature in the first state; Acquire a characteristic parameter measurement value of the second temperature sensor in a second state of the second environment; The temperature of the second environment in the second state is determined based on the characteristic parameter measurement value in the second state and the first calibration curve.

[0016] According to at least one embodiment of the present disclosure, the diagnostic and treatment device calibrates the pressure measurement of the pressure sensor based on the temperature in the cavity measured by the second temperature sensor, including: Acquire a characteristic parameter measurement value of the pressure sensor in a second state of the second environment; determining a characteristic parameter calibration amount based on the determined temperature in the second state, the first ambient temperature, and the first calibration curve; Compensating a characteristic parameter measurement value of the pressure sensor in the second state of the second environment based on the characteristic parameter calibration amount to obtain a compensated characteristic parameter measurement value; A pressure value corresponding to the compensated characteristic parameter measurement value is determined as the pressure value measured by the pressure sensor in the second state of the second environment.

[0017] According to another aspect of the present disclosure, a readable storage medium is provided, wherein the readable storage medium stores execution instructions, and when the execution instructions are executed by a processor, the measurement method of any embodiment of the present disclosure is implemented.

[0018] According to another aspect of the present disclosure, a computer program product is provided, including a computer program, wherein when the computer program is executed by a processor, the measurement method of any embodiment of the present disclosure is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings illustrate exemplary embodiments of the present disclosure and together with the description serve to explain the principles of the present disclosure. These drawings are included to provide a further understanding of the present disclosure and are incorporated in and constitute a part of this specification.

[0020] Figure 1 It is a schematic flow chart of a sensor-based measurement method according to an embodiment of the present disclosure.

[0021] Figure 2 It is a flowchart of a sensor-based measurement method according to another embodiment of the present disclosure.

[0022] Figure 3 It is a schematic block diagram of the structure of a diagnostic and treatment device according to one embodiment of the present invention.

[0023] Figure 4 It is a schematic structural diagram of the front end of an endoscope according to an embodiment of the present disclosure.

[0024] Figure 5 It is a schematic block diagram of the structure of a diagnostic and treatment device (medical perfusion and suction platform) according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0025] The present disclosure is further described in detail below in conjunction with the accompanying drawings and examples. It is understood that the specific examples described herein are only used to explain the relevant content, rather than to limit the present disclosure. It should also be noted that, for ease of description, only the parts related to the present disclosure are shown in the accompanying drawings.

[0026] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in the present disclosure can be combined with each other. The technical solution of the present disclosure will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0027] The sensor-based measurement method disclosed in the present invention can be used to perform at least one of temperature measurement and pressure measurement in a medical perfusion and aspiration platform (diagnostic and treatment equipment). The medical perfusion and aspiration platform can include equipment such as an endoscope. The medical perfusion and aspiration platform can be used for minimally invasive endoscopic surgery and can be constructed as a kidney stone diagnosis and treatment equipment used in combination with an endoscope and a lithotripsy device.

[0028] Figure 1 It is a schematic flow chart of a sensor-based measurement method according to an embodiment of the present disclosure.

[0029] refer to Figure 1 The sensor-based measurement method M100 of this embodiment includes steps S110 to S150.

[0030] Step S110: acquiring a first ambient temperature of a first environment acquired by a first temperature sensor and a characteristic parameter measurement value of a second temperature sensor at the first ambient temperature.

[0031] The first environment may be the environment of the medical perfusion suction platform, such as an indoor environment. In the present disclosure, the first temperature sensor and the second temperature sensor are preferably different types of temperature sensors. In other words, the two types of temperature sensors measure temperature based on different characteristic parameters.

[0032] For example, the first temperature sensor is an NTC temperature sensor, whose characteristic parameter is resistance value, and the second temperature sensor is an optical fiber Fabry-Perot cavity temperature sensor, whose characteristic parameter is cavity length of Fabry-Perot cavity.

[0033] Inspired by the technical solution of the present disclosure, those skilled in the art can change the types of the first temperature sensor and the second temperature sensor, all of which fall within the scope of the present disclosure. For example, the first temperature sensor can also be a PTC temperature sensor, and the second temperature sensor can be a fiber grating sensor.

[0034] The present disclosure uses two different types of temperature sensors to measure temperature in a first environment (the characteristic parameter measurement value of the second temperature sensor can represent the temperature value), with the purpose of calibrating or compensating the temperature measurement of the second temperature sensor in a second state in the second environment based on the first environment temperature measured by the first temperature sensor and the characteristic parameter measurement value of the second temperature sensor at the first environment temperature.

[0035] S120: Obtain a characteristic parameter measurement value of the second temperature sensor in the second environment in the first state, and determine the temperature of the second environment in the first state based on the characteristic parameter measurement value in the first state.

[0036] The second environment may be a human body cavity, such as a kidney cavity, a stomach cavity, etc. The first state may be an environmental state in which an endoscope is inserted into a target cavity (such as a kidney cavity) and no endoscopic lithotripsy or lithotripsy has been performed. In other words, the first state is a temperature and / or pressure stable state of the target cavity (such as a kidney cavity). The first state and the second state are different environmental states of the second environment.

[0037] In step S120 , the second temperature sensor measures a characteristic parameter measurement value of the second environment in the first state and determines the temperature in the first state based on the characteristic parameter measurement value.

[0038] In the present disclosure, when the second temperature sensor represents the temperature value based on its characteristic parameter measurement value, it can be obtained based on the calibration curve between the calibrated characteristic parameter value and the temperature value. Various temperature sensors are generally calibrated before leaving the factory, and the calibration process is a common technology.

[0039] However, as the environment changes, the temperature measurement of fiber optic Fabry-Perot cavity temperature sensors may deviate or error.

[0040] In step S120, the characteristic parameter measurement value of the second temperature sensor in the first state of the second environment and the temperature determined based thereon, and the characteristic parameter measurement value of the second temperature sensor in the first environment and the temperature determined thereon, conform to the calibration curve described above or have the same degree of acceptable error relative to the above calibration curve.

[0041] The present disclosure constructs data points based on the first ambient temperature measured by the first temperature sensor and the characteristic parameter measurement values ​​of the second temperature sensor at the first ambient temperature. The temperature measurement value of the second temperature sensor can be calibrated or corrected based on the temperature measurement value of the first temperature sensor, see step S130.

[0042] S130. Establish a relationship curve between characteristic parameter measurement values ​​and temperature as a first calibration curve based on the first ambient temperature, the characteristic parameter measurement value of the second temperature sensor at the first ambient temperature, the characteristic parameter measurement value in the first state, and the temperature in the first state.

[0043] It should be noted that the first ambient temperature is measured by the first temperature sensor, rather than determined by the second temperature sensor based on its characteristic parameter measurement value, in order to calibrate or correct the temperature measurement value of the second temperature sensor based on the temperature measurement value of the first temperature sensor.

[0044] Step S130 establishes a first calibration curve based on at least two data points (the first ambient temperature and the characteristic parameter measurement value of the second temperature sensor at the first ambient temperature as one data point, and the characteristic parameter measurement value in the first state and the temperature in the first state as another data point).

[0045] The first calibration curve introduces the measurement accuracy of the first temperature sensor relative to the calibration curve of the second temperature sensor, so that the second temperature sensor obtains more accurate measurement results when measuring the temperature of the second environment, such as the surgical process state (ie, the second state described below).

[0046] S140: Obtain a characteristic parameter measurement value of the second temperature sensor in a second state of the second environment.

[0047] As described above, the second state may be a surgical process state. Since during surgical procedures such as endoscopic lithotripsy, the target cavity (second environment) may be infused with expansion fluid or irradiated with laser, etc., it is necessary to accurately monitor the temperature in the second state in real time to avoid damage to the target cavity.

[0048] S150: Determine the temperature of the second environment in the second state based on the characteristic parameter measurement value in the second state and the first calibration curve.

[0049] Based on the first calibration curve obtained above and the characteristic parameter measurement value of the second temperature sensor in the second state of the second environment, the accurate temperature in the second state can be determined.

[0050] It can be seen that based on the measurement method described above, the second temperature sensor can be calibrated based on the measurement accuracy of the first temperature sensor, so that the temperature measurement result of the second temperature sensor is more accurate.

[0051] The above-described measurement of the first ambient temperature of the first environment using the first temperature sensor can be achieved by taking an average value of multiple measurements, which all fall within the protection scope of the present disclosure.

[0052] Figure 2 It is a flowchart of a sensor-based measurement method according to another embodiment of the present disclosure.

[0053] refer to Figure 2The sensor-based measurement method M200 of this embodiment includes steps S210 to S280. Based on the measurement method M100 described above, the measurement method M200 further includes the following steps: S240, obtaining a characteristic parameter measurement value of the pressure sensor in a second state of the second environment; S260, determining a characteristic parameter calibration amount based on the determined temperature in the second state, the first ambient temperature, and the first calibration curve; S270, compensating a characteristic parameter measurement value of the pressure sensor in the second state of the second environment based on the characteristic parameter calibration amount to obtain a compensated characteristic parameter measurement value; S280. Determine a pressure value corresponding to the compensated characteristic parameter measurement value as the pressure value measured by the pressure sensor in the second state of the second environment.

[0054] In step S240, the measurement of the second temperature sensor and the measurement of the pressure sensor are performed synchronously.

[0055] Accurately obtaining the pressure value of the target cavity during surgery is crucial and affects surgical safety.

[0056] Since the accuracy of fiber optic Fabry-Perot cavity pressure sensors is affected by temperature when measuring pressure, and since the temperature near the front end of the endoscope in the target cavity will change significantly when exposed to laser light during the surgical process, the accuracy of the pressure sensor configured at the front end of the endoscope may be affected.

[0057] Therefore, in this embodiment, first, step S260 determines the characteristic parameter calibration amount for the pressure sensor based on the temperature in the second state determined in step S250, the above-mentioned first ambient temperature (measured by the first temperature sensor) and the above-mentioned first calibration curve, and the characteristic parameter calibration amount characterizes the influence of temperature changes on the characteristic parameter measurement value of the pressure sensor.

[0058] In step S270, the characteristic parameter measurement value (used to characterize the pressure value) of the pressure sensor in the second state is compensated based on the above-mentioned characteristic parameter calibration amount, which can remove the influence of temperature change on the characteristic parameter measurement value of the pressure sensor, thereby obtaining a compensated characteristic parameter measurement value that more accurately characterizes the pressure value.

[0059] Further, in step S280, a more accurate pressure value is obtained based on the pressure value corresponding to the compensated characteristic parameter measurement value as the pressure value measured by the pressure sensor in the second state of the second environment.

[0060] The pressure sensor disclosed in the present invention is preferably a fiber optic Fabry-Perot cavity pressure sensor.

[0061] In a preferred embodiment of the present disclosure, the second temperature sensor and the pressure sensor are both fiber optic Fabry-Perot cavity sensors (fiber optic Fabry-Perot cavity temperature sensor and fiber optic Fabry-Perot cavity pressure sensor), and both may also be resistive sensors (resistive temperature sensor and resistive pressure sensor). Inspired by the technical solution of the present disclosure, those skilled in the art may adjust the types of the second temperature sensor and the pressure sensor, all of which fall within the protection scope of the present disclosure.

[0062] As described above, preferably, the pressure sensor and the second temperature sensor have the same characteristic parameter, which is the length of the Fabry-Perot cavity.

[0063] In some embodiments of the present disclosure, for step S270 described above, determining the characteristic parameter calibration amount based on the determined temperature in the second state, the first ambient temperature, and the first calibration curve includes: The characteristic parameter value corresponding to the temperature in the second state on the first calibration curve is subtracted from the characteristic parameter value corresponding to the first ambient temperature on the first calibration curve to obtain a characteristic parameter difference value as the characteristic parameter calibration amount.

[0064] The characteristic parameter difference is obtained based on the characteristic parameter value corresponding to the first ambient temperature on the first calibration curve because, for the pressure sensor, the existing calibration curve is generally obtained by calibration under normal indoor temperature conditions.

[0065] Based on the above method, the characteristic parameter calibration value of the pressure sensor can be accurately obtained.

[0066] More specifically, for step S270 described above, compensating the characteristic parameter measurement value of the pressure sensor in the second state of the second environment based on the characteristic parameter calibration amount to obtain the compensated characteristic parameter measurement value includes: The characteristic parameter measurement value of the pressure sensor in the second state of the second environment minus the characteristic parameter calibration amount is used as the compensated characteristic parameter measurement value.

[0067] The following is a detailed description of the diagnostic and treatment equipment (eg, a medical perfusion and aspiration platform) provided by the present disclosure.

[0068] Figure 3 It is a schematic block diagram of the structure of a diagnostic and treatment device according to one embodiment of the present invention.

[0069] refer to Figure 3 In some embodiments of the present disclosure, the diagnostic and treatment device includes: A host 100, the host 100 includes a main control board 102 and a first temperature sensor 101, the first temperature sensor 101 is used to measure a first ambient temperature of a first environment; An endoscope 200 is provided with a second temperature sensor 202 and a pressure sensor 201. The second temperature sensor 202 is used to measure the internal temperature of a target cavity (such as a human body cavity). The pressure sensor 201 is used to measure the internal pressure of the target cavity. The target cavity is a second environment. The main control board 102 is connected in communication with the first temperature sensor 101 to obtain a first ambient temperature measured by the first temperature sensor 101 , and the main control board 102 is connected in communication with the second temperature sensor 202 and the pressure sensor 201 to obtain the temperature and pressure in the cavity.

[0070] The temperature measurement of the second temperature sensor 202 is calibrated based on the first ambient temperature measured by the first temperature sensor 101 , and the pressure measurement of the pressure sensor 201 is calibrated based on the cavity temperature measured by the second temperature sensor 202 .

[0071] The first temperature sensor 101 and the second temperature sensor 202 are temperature sensors of different types, and characteristic parameters of the first temperature sensor 101 are different from characteristic parameters of the second temperature sensor 202 .

[0072] like Figure 3 As shown, in a preferred embodiment of the present disclosure, the first temperature sensor 101 is an NTC temperature sensor, and the second temperature sensor 202 is an optical fiber Fabry-Perot cavity temperature sensor.

[0073] Preferably, the second temperature sensor 202 has the same characteristic parameters as the pressure sensor 201 .

[0074] In some embodiments of the present disclosure, the pressure sensor 201 is a fiber optic Fabry-Perot cavity pressure sensor.

[0075] Figure 3 The main control board 102 may be a main control board in the form of a single chip microcomputer or a main control board in the form of an FPGA, and the present disclosure does not make any special limitation on this.

[0076] Figure 3 The host 100 shown may also include a power module 105 to supply power to the main control board 102 and the photoelectric demodulation module 104. In some embodiments, the photoelectric demodulation module 104 may be connected to the second temperature sensor 202 and the pressure sensor 201 configured at the front end of the endoscope via an optical fiber to collect optical signals from the second temperature sensor 202 and the pressure sensor 101 and convert the optical signals into electrical signals.

[0077] The photoelectric demodulation module 104 may be an existing photoelectric demodulation module, and the photoelectric demodulation module 104 may include devices such as photoelectric detectors, signal amplifiers, filters, etc. to achieve high-precision demodulation of optical signals. The present disclosure does not specifically limit the structure of the photoelectric demodulation module.

[0078] Continue to refer Figure 3 The host 100 may further include an ADC conversion module (not shown) to perform AD sampling on the electrical signal from the first temperature sensor 101 , so that the main control board 102 can obtain a temperature value measured based on the first temperature sensor 101 .

[0079] In some embodiments of the present disclosure, reference Figure 3 The second temperature sensor 202 and the pressure sensor 101 can be configured together or constructed as an integrated structure.

[0080] Figure 3 The host 100 further includes an endoscope handle interface 105, which can be connected to the endoscope handle 203 of the endoscope 200, so that the optical fiber in the endoscope is communicatively connected with the optical fiber in the host.

[0081] Figure 4 It is a schematic structural diagram of the front end of an endoscope according to an embodiment of the present disclosure.

[0082] refer to Figure 4 The front end of the endoscope may be equipped with an image sensor 205 (such as a CMOS image sensor), a light source 204 ( Figure 4 2 light sources are exemplarily shown in the figure) and an operating channel 207, which are common configurations.

[0083] In the present disclosure, the second temperature sensor 202 and the pressure sensor 201 are fixedly disposed in the housing at the front end of the endoscope, for example, both are disposed in the housing at the front end of the endoscope in an embedded manner.

[0084] Figure 4 2 shows a housing cavity preferably configured in the front end housing of an endoscope according to the present disclosure, which is used to accommodate the second temperature sensor 201 and the pressure sensor 201 .

[0085] Figure 4 Also shown are two groups of overflow holes 206 , which are respectively disposed on both sides of the accommodating cavity and communicated with the accommodating cavity.

[0086] Based on the above configuration, it is convenient to clean the second temperature sensor 202 and the pressure sensor 201 in the accommodation cavity.

[0087] As Figure 4 As shown, the above-mentioned accommodating cavity is arranged on the side of the front end of the endoscope.

[0088] Inspired by the technical solution of the present disclosure, those skilled in the art can adjust the specific position of the accommodating cavity, all of which fall within the protection scope of the present disclosure.

[0089] Figure 3 The main control board 102 can perform calibration of the temperature measurement of the second temperature sensor based on the first ambient temperature measured by the first temperature sensor based on the following steps: Acquire a first ambient temperature of the first environment acquired by the first temperature sensor and a characteristic parameter measurement value of the second temperature sensor at the first ambient temperature; Obtain a characteristic parameter measurement value of the second temperature sensor in the second environment in the first state and determine the temperature of the second environment in the first state based on the characteristic parameter measurement value in the first state; Establishing a relationship curve between characteristic parameter measurement value and temperature as a first calibration curve based on the first ambient temperature, the characteristic parameter measurement value of the second temperature sensor at the first ambient temperature, the characteristic parameter measurement value in the first state, and the temperature in the first state; Acquire a characteristic parameter measurement value of a second temperature sensor in a second state of a second environment; The temperature of the second environment in the second state is determined based on the characteristic parameter measurement value in the second state and the first calibration curve.

[0090] Figure 3 The main control board 102 can perform the following steps to calibrate the pressure measurement of the pressure sensor based on the temperature in the cavity measured by the second temperature sensor: Acquire a characteristic parameter measurement value of the pressure sensor in a second state in a second environment; determining a characteristic parameter calibration amount based on the determined temperature in the second state, the first ambient temperature, and the first calibration curve; Compensating a characteristic parameter measurement value of the pressure sensor in a second state in a second environment based on the characteristic parameter calibration amount to obtain a compensated characteristic parameter measurement value; A pressure value corresponding to the compensated characteristic parameter measurement value is determined as the pressure value measured by the pressure sensor in the second state of the second environment.

[0091] Figure 5 It is a schematic block diagram of the structure of a diagnostic and treatment device (medical perfusion and suction platform) according to an embodiment of the present disclosure.

[0092] refer to Figure 5 , the host can be powered by a main power supply, and the diagnostic and treatment equipment can also include: An expansion device, which provides expansion fluid to a target cavity (not shown) based on a control signal from a main control board; The collecting device collects the liquid or solid-liquid mixture in the target cavity based on the control signal of the main control board.

[0093] Wherein, the expansion chamber device may include Figure 5 The perfusion liquid bag, perfusion pipeline, and perfusion pump head shown in the figure can be used to perfuse into the target cavity via a ureteroscope (i.e., an endoscope).

[0094] The main unit may include some devices such as a pump tube microswitch, a pressure chamber microswitch, a pressure sensor 1, a pressure sensor 2, etc. The functions and effects of these devices can be found in the first microswitch, the second microswitch and the two pressure sensors in the pressure chamber described in the applicant's prior patent application CN202223446622.6, and the present disclosure will not repeat them.

[0095] The collecting device may include, for example Figure 5 The liquid barrel, filter, suction pipeline and other components shown in FIG.

[0096] The host can include Figure 5 The common devices shown in the figure, such as the negative pressure sensor, air circuit assembly, diaphragm suction pump, solenoid valve, bottom exhaust port, suction interface, etc., can provide negative pressure to the target cavity via the suction pipeline, etc., so as to collect the liquid or solid-liquid mixture in the target cavity (such as the mixture of gravel and expansion fluid produced during lithotripsy).

[0097] refer to Figure 5 The main control board of the diagnosis and treatment device disclosed herein may include a microcontroller unit (MCU) to perform processes such as signal generation and signal processing.

[0098] Figure 5 A fiber Bragg grating sensor is shown in FIG. 2 , and two fiber Bragg grating sensors can be configured as the second temperature sensor and the pressure sensor described above in the present disclosure, respectively.

[0099] Figure 5 A resistance type sensor is also shown in FIG. 2 , and two resistance type sensors can be configured as the second temperature sensor and the pressure sensor described above, respectively.

[0100] for Figure 5 You can choose either the fiber grating sensor or the resistance sensor.

[0101] Figure 5 The host shown in FIG. 1 includes an NTC, which can be used as the first temperature sensor described above for room temperature calibration.

[0102] It should be noted that Figure 5The structure shown in the figure is intended to illustrate in detail the implementation of the diagnostic and treatment device of the present disclosure and should not be construed as a limitation on the measurement method and diagnostic and treatment device described above in the present disclosure.

[0103] The measurement methods of the various embodiments described above in the present disclosure can be implemented by executing a computer program through a processor (such as an MCU) on a main control board. The measurement methods of the various embodiments described above can be configured in the form of a software program in a memory (such as a memory) of the main control board. Figure 5 128M-BIT FLASH in the memory.

[0104] The present disclosure also provides a readable storage medium, in which a computer program is stored, and the computer program is used to implement the above method when executed by a processor. "Readable storage medium" can be any device that can contain, store, communicate, propagate or transmit a program for use in an instruction execution system, device or equipment or in combination with these instruction execution systems, devices or equipment. More specific examples of readable storage media include the following: an electrical connection portion (electronic device) with one or more wirings, a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and editable read-only memory (EPROM or flash memory), an optical fiber device, and a portable read-only memory (CDROM), etc.

[0105] The present disclosure also provides a computer program product. The method of the present disclosure can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer programs or instructions. When the computer program or instruction is loaded and executed, the process or function of the present disclosure is executed in whole or in part.

[0106] The computer program or instructions may be stored in a readable storage medium or transmitted from one readable storage medium to another readable storage medium, for example, the computer program or instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired or wireless means. The readable storage medium may be any available medium that can be accessed or a data storage device such as a server, data center, etc. that integrates one or more available media. The available medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; it may also be an optical medium, such as a digital video disk; it may also be a semiconductor medium, such as a solid state drive. The computer readable storage medium may be a volatile or non-volatile storage medium, or may include both volatile and non-volatile types of storage media.

[0107] Those skilled in the art will appreciate that the embodiments of the present disclosure may be provided as methods, systems, or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0108] The present disclosure is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the present disclosure. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0109] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0110] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0111] In the description of this specification, the description with reference to the terms "one embodiment / method", "some embodiments / methods", "example", "specific example", or "some examples" etc. means that the specific features, structures, or characteristics described in conjunction with the embodiment / method or example are included in at least one embodiment / method or example of the present disclosure. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment / method or example. Moreover, the specific features, structures, or characteristics described may be combined in any one or more embodiments / methods or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments / methods or examples described in this specification and features of different embodiments / methods or examples, unless they are contradictory.

[0112] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of the present disclosure, "plurality" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0113] Those skilled in the art should understand that the above embodiments are only for the purpose of clearly illustrating the present disclosure, and are not intended to limit the scope of the present disclosure. For those skilled in the art, other changes or modifications may be made based on the above disclosure, and these changes or modifications are still within the scope of the present disclosure.

Claims

1. A sensor-based measurement method, characterized in that: include: Acquire a first ambient temperature of a first environment acquired by a first temperature sensor and a characteristic parameter measurement value of a second temperature sensor at the first ambient temperature; Acquire a characteristic parameter measurement value of the second temperature sensor in the second environment in the first state and determine the temperature of the second environment in the first state based on the characteristic parameter measurement value in the first state; Establishing a relationship curve between characteristic parameter measurement value and temperature as a first calibration curve based on the first ambient temperature, the characteristic parameter measurement value of the second temperature sensor at the first ambient temperature, the characteristic parameter measurement value in the first state, and the temperature in the first state; Acquire a characteristic parameter measurement value of the second temperature sensor in a second state of the second environment; as well as The temperature of the second environment in the second state is determined based on the characteristic parameter measurement value in the second state and the first calibration curve.

2. The sensor-based measurement method according to claim 1, characterized in that: The first ambient temperature of the first environment is obtained by taking an average value based on multiple measurements.

3. The sensor-based measurement method according to claim 1, characterized in that: The measuring method further comprises: Acquire a characteristic parameter measurement value of the pressure sensor in a second state of the second environment; determining a characteristic parameter calibration amount based on the determined temperature in the second state, the first ambient temperature, and the first calibration curve; Compensating a characteristic parameter measurement value of the pressure sensor in the second state of the second environment based on the characteristic parameter calibration amount to obtain a compensated characteristic parameter measurement value; and A pressure value corresponding to the compensated characteristic parameter measurement value is determined as the pressure value measured by the pressure sensor in the second state of the second environment.

4. The sensor-based measurement method according to claim 3, characterized in that: The first temperature sensor is an NTC temperature sensor; The second temperature sensor and the pressure sensor are both resistive sensors, or the second temperature sensor and the pressure sensor are both optical fiber Fabry-Perot cavity sensors.

5. The sensor-based measurement method according to claim 3, characterized in that: The pressure sensor and the second temperature sensor have the same characteristic parameter, which is the length of the Fabry-Perot cavity.

6. The sensor-based measurement method according to claim 5, characterized in that: The determining of the characteristic parameter calibration amount based on the determined temperature in the second state, the first ambient temperature and the first calibration curve includes: Subtract the characteristic parameter value corresponding to the temperature in the second state on the first calibration curve from the characteristic parameter value corresponding to the first ambient temperature on the first calibration curve to obtain a characteristic parameter difference value as the characteristic parameter calibration amount; Optionally, compensating a characteristic parameter measurement value of the pressure sensor in the second state of the second environment based on the characteristic parameter calibration amount to obtain a compensated characteristic parameter measurement value includes: The characteristic parameter measurement value of the pressure sensor in the second state of the second environment minus the characteristic parameter calibration amount is used as the compensated characteristic parameter measurement value.

7. A diagnostic and treatment device, characterized in that: include: A host, the host comprising a main control board and a first temperature sensor, the first temperature sensor being used to measure a first ambient temperature of a first environment; An endoscope, wherein the endoscope is provided with a second temperature sensor and a pressure sensor, wherein the second temperature sensor is used to measure the internal temperature of a target cavity, and the pressure sensor is used to measure the internal pressure of the target cavity, wherein the target cavity is a second environment; The main control board is connected in communication with the first temperature sensor to obtain a first ambient temperature measured by the first temperature sensor, and the main control board is connected in communication with the second temperature sensor and the pressure sensor to obtain the temperature and pressure in the cavity; Calibrate the temperature measurement of the second temperature sensor based on the first ambient temperature measured by the first temperature sensor, and calibrate the pressure measurement of the pressure sensor based on the temperature in the cavity measured by the second temperature sensor; Optionally, the diagnostic and treatment equipment further comprises: A cavity expansion device, which provides cavity expansion fluid to the target cavity based on a control signal of the main control board; A collecting device is used to collect the liquid or solid-liquid mixture in the target cavity based on the control signal of the main control board.

8. The diagnostic and treatment equipment according to claim 7, characterized in that: Calibrating a temperature measurement of the second temperature sensor based on a first ambient temperature measured by the first temperature sensor includes: Acquire a first ambient temperature of a first environment acquired by a first temperature sensor and a characteristic parameter measurement value of a second temperature sensor at the first ambient temperature; Acquire a characteristic parameter measurement value of the second temperature sensor in the second environment in the first state and determine the temperature of the second environment in the first state based on the characteristic parameter measurement value in the first state; Establishing a relationship curve between characteristic parameter measurement value and temperature as a first calibration curve based on the first ambient temperature, the characteristic parameter measurement value of the second temperature sensor at the first ambient temperature, the characteristic parameter measurement value in the first state, and the temperature in the first state; Acquire a characteristic parameter measurement value of the second temperature sensor in a second state of the second environment; and determining the temperature of the second environment in the second state based on the characteristic parameter measurement value in the second state and the first calibration curve; Optionally, Calibrating the pressure measurement of the pressure sensor based on the temperature in the cavity measured by the second temperature sensor includes: Acquire a characteristic parameter measurement value of the pressure sensor in a second state of the second environment; determining a characteristic parameter calibration amount based on the determined temperature in the second state, the first ambient temperature, and the first calibration curve; Compensating a characteristic parameter measurement value of the pressure sensor in the second state of the second environment based on the characteristic parameter calibration amount to obtain a compensated characteristic parameter measurement value; and A pressure value corresponding to the compensated characteristic parameter measurement value is determined as the pressure value measured by the pressure sensor in the second state of the second environment.

9. A readable storage medium, characterized in that: The readable storage medium stores execution instructions, which are used to implement the measurement method according to any one of claims 1 to 6 when executed by a processor.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the measurement method according to any one of claims 1 to 6 is implemented.

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