A tumor-based mass spectrometry detection method and system

Abstract

The present invention relates to the technical field of mass spectrometry detection, and in particular to a mass spectrometry detection method and system based on tumors, comprising the following steps: obtaining ambient temperature data of a mass spectrometer during tumor detection, and performing monitoring and analysis based on the ambient temperature data to obtain an early warning coefficient; wherein the ambient temperature data includes real-time ambient temperature; based on the early warning coefficient, judging the detection work of the mass spectrometer to obtain a mass spectrometry detection risk signal, and then performing factor identification based on the mass spectrometry detection risk signal to obtain risk influencing factors; based on the risk influencing factors, generating corresponding feedback working signals; according to the environmental control working signal, obtaining a control coefficient, and controlling the current ambient temperature of the mass spectrometer; wherein the control coefficient includes an ambient temperature control rate; the mass spectrometry detection system of the present invention can perform early intervention processing on the mass spectrometer according to the generated early warning coefficient, so as to effectively ensure the accuracy of mass spectrometry detection.

Description

Technical Field

[0001] The present invention relates to the technical field of mass spectrometry detection, and in particular to a tumor-based mass spectrometry detection method and system. Background Art

[0002] Chinese patent CN101936948A discloses a mass spectrometry detection method for serum peptides, which uses a magnetic bead support matrix to capture gastric cancer peptides in serum, and uses a magnetic separator to separate the magnetic beads and samples without centrifuging the samples. The peptide spectrum is then analyzed by mass spectrometry; this method can be used to detect serum samples of normal people and gastric cancer patients, and its detection results can be used as an important detection basis in the diagnosis of early gastric cancer;

[0003] In the prior art, when a mass spectrometer is detecting tumors or other substances, the mass spectrometer is very sensitive to the ambient temperature. Changes in temperature may cause changes in the accuracy and stability of the instrument, thereby affecting the accuracy of the final detection. Currently, it is impossible to timely and effectively analyze and regulate changes in ambient temperature to maintain the accuracy of mass spectrometry detection. Summary of the invention

[0004] The purpose of the present invention is to provide a tumor-based mass spectrometry detection method and system. The technical problem solved by the present invention is that currently it is not possible to timely and effectively analyze and regulate changes in ambient temperature to maintain the accuracy of mass spectrometry detection.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A mass spectrometry detection method based on tumors comprises the following steps:

[0007] Step 1: Obtaining ambient temperature data of the mass spectrometer during tumor detection, and performing monitoring and analysis based on the ambient temperature data to obtain an early warning coefficient; wherein the ambient temperature data includes real-time ambient temperature;

[0008] Step 2: Based on the early warning coefficient, the detection work of the mass spectrometer is judged to obtain the mass spectrometer detection risk signal, and then the factors are identified according to the mass spectrometer detection risk signal to obtain the risk influencing factors;

[0009] Among them, the mass spectrometry detection risk signals include environmental high risk signals and environmental low risk signals;

[0010] Step 3: Generate corresponding feedback work signals based on risk influencing factors;

[0011] Step 4: According to the environmental control working signal, the control coefficient is obtained to control the current mass spectrometer ambient temperature;

[0012] Among them, the control coefficient includes the ambient temperature control rate.

[0013] As a further solution of the present invention: in step 1, the process of obtaining the early warning coefficient is:

[0014] When an abnormal ambient temperature signal is obtained, the deviation ratio within the abnormal period is obtained, and all the deviation ratios within the abnormal period are added together to obtain the early warning coefficient;

[0015] The abnormal period is: the time when the abnormal ambient temperature signal is continuously generated.

[0016] As a further solution of the present invention: if the real-time ambient temperature is not within the preset ambient temperature range, an ambient temperature abnormality signal is generated.

[0017] As a further solution of the present invention: the process of obtaining the deviation ratio is:

[0018] The real-time ambient temperature in the abnormal period is obtained, marked as the abnormal real-time ambient temperature, and the difference between the abnormal real-time ambient temperature and the closest endpoint value of the preset ambient temperature range is calculated to obtain the real-time ambient temperature deviation value;

[0019] The real-time ambient temperature deviation value is calculated by ratio with the preset ambient temperature range interval value to obtain the deviation ratio.

[0020] As a further solution of the present invention: in step 2, the warning coefficient is obtained, and the warning coefficient is compared with the warning coefficient threshold;

[0021] If the warning coefficient is greater than or equal to the warning coefficient threshold, a high-risk environmental signal is generated.

[0022] As a further solution of the present invention: in step 2, the process of factor identification is:

[0023] When a high-risk environmental signal is obtained, the real-time operating temperature and real-time environmental temperature of the mass spectrometer during the abnormal analysis time are obtained, and an impact analysis is performed to obtain an impact coefficient;

[0024] If the impact coefficient is greater than or equal to the impact coefficient threshold, a device impact signal is generated;

[0025] If the impact coefficient is less than the impact coefficient threshold, a non-device impact signal is generated;

[0026] The abnormal analysis time is: the length of the abnormal period corresponding to the high-risk environmental signal.

[0027] As a further solution of the present invention: the process of obtaining the influence coefficient is:

[0028] Obtain the real-time operating temperature and real-time ambient temperature of the mass spectrometer during the abnormal analysis time, then divide the abnormal analysis time into i analysis nodes, and obtain the real-time operating temperature slope value and real-time ambient temperature slope value of each analysis node;

[0029] The difference between the real-time operating temperature slope value and the real-time ambient temperature slope value is calculated to obtain the temperature slope difference;

[0030] If the temperature slope difference is less than the temperature slope difference threshold, a node proximity signal is generated;

[0031] The number of nodes corresponding to the node-similar signals is obtained, and the ratio of the number of nodes to the total number of analyzed nodes is calculated to obtain the influence coefficient.

[0032] As a further solution of the present invention: in step 3, when an equipment impact signal is obtained, an equipment inspection working signal is generated to perform an equipment inspection on the mass spectrometer; when a non-equipment impact signal is obtained, an environment control working signal is generated to control the ambient temperature of the mass spectrometer.

[0033] As a further solution of the present invention: in step 4, when the control processing work is obtained, the real-time ambient temperature deviation value is obtained, the ambient temperature correction value is obtained, and then the real-time ambient temperature slope value is obtained to obtain the ambient temperature correction slope, and the ambient temperature correction value is calculated by ratio with the ambient temperature correction slope to obtain the ambient temperature correction time;

[0034] Based on the ambient temperature correction time, the ambient temperature correction time and the abnormal analysis time are calculated to obtain the correction time efficiency ratio;

[0035] If the correction time efficiency ratio is less than the correction time efficiency ratio threshold, a correction qualified signal is generated. When the correction qualified signal is obtained, the formula , calculate the ambient temperature control rate KT1, where THd is the current real-time ambient temperature and TJ is the ambient temperature correction time;

[0036] The process of obtaining the ambient temperature correction value is as follows:

[0037] Obtaining the real-time ambient temperature deviation value, extracting the maximum real-time ambient temperature deviation value, and recording the maximum real-time ambient temperature deviation value as the ambient temperature correction value;

[0038] The process of obtaining the ambient temperature correction slope is:

[0039] The real-time ambient temperature slope value is obtained, and the maximum real-time ambient temperature slope value is extracted, and the maximum real-time ambient temperature slope value is recorded as the ambient temperature correction slope.

[0040] A tumor-based mass spectrometry detection system, the system comprising:

[0041] Early warning module: obtains the ambient temperature data of the mass spectrometer during the tumor detection process, and monitors and analyzes the ambient temperature data to obtain an early warning coefficient; wherein the ambient temperature data includes the real-time ambient temperature;

[0042] Identification module: Based on the early warning coefficient, the detection work of the mass spectrometer is judged to obtain the mass spectrometer detection risk signal, and then the factors are identified according to the mass spectrometer detection risk signal to obtain the risk influencing factors;

[0043] Among them, the mass spectrometry detection risk signals include environmental high risk signals and environmental low risk signals;

[0044] Execution module: Generates corresponding feedback work signals based on risk influencing factors;

[0045] Control module: obtains the control coefficient according to the environmental control working signal and controls the current mass spectrometer ambient temperature;

[0046] Among them, the control coefficient includes the ambient temperature control rate.

[0047] Beneficial effects of the present invention:

[0048] (1) The present invention obtains the ambient temperature data of the mass spectrometer during the detection process, and monitors and analyzes the ambient temperature data to obtain the early warning coefficient; based on the early warning coefficient, the detection work of the mass spectrometer is judged to obtain the mass spectrometer detection risk signal, and then the factors are identified based on the mass spectrometer detection risk signal to obtain the risk influencing factors; the present invention uses the ambient temperature as a parameter, first performs deviation early warning analysis, and then performs risk impact analysis, so that the mass spectrometer can be monitored, analyzed and judged in real time during the tumor detection process by taking the ambient temperature as a reference, and the influencing factors of the risk situation are obtained, so as to facilitate timely and effective feedback during the tumor mass spectrometer detection process, and ensure that the mass spectrometer completes the detection work normally and stably;

[0049] (2) The present invention generates corresponding feedback working signals based on risk influencing factors; obtains the control coefficient according to the environmental control working signal, and controls the current mass spectrometer ambient temperature; the present invention timely feedbacks the generated risk influencing factors, so that the mass spectrometer can timely and effectively feedback based on the early warning signal during the tumor detection process, thereby avoiding the problem that the tumor detection is abnormal and cannot be effectively intervened, resulting in inaccurate final detection results; then, according to the obtained control work, combined with the ambient temperature deviation value and the ambient temperature slope, the ambient temperature correction time is obtained, based on which the ambient temperature is effectively controlled in real time to ensure that the mass spectrometer can operate at a reasonable ambient temperature, thereby effectively improving the accuracy of the mass spectrometer in tumor detection;

[0050] (3) In summary, the mass spectrometry detection system of the present invention can perform early intervention processing on the mass spectrometer according to the generated warning coefficient, thereby effectively ensuring the accuracy of mass spectrometry detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The present invention will be further described below in conjunction with the accompanying drawings.

[0052] Figure 1 is a flowchart of Embodiment 1 of the present invention;

[0053] Figure 2 is a flowchart of Embodiment 2 of the present invention;

[0054] Figure 3 It is a system block diagram of embodiment 3 of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] Example 1

[0057] See also Figure 1 As shown, the present invention is a mass spectrometry detection method and system based on tumors, comprising the following steps:

[0058] Step 1: Obtain the ambient temperature data of the mass spectrometer during the tumor detection process, and perform monitoring and analysis based on the ambient temperature data to obtain an early warning coefficient;

[0059] The mass spectrometer is used in the tumor detection process as follows: the gastric cancer peptide group in the serum is captured by a magnetic bead support matrix method, and the magnetic beads and the sample are separated by a magnetic separator without centrifuging the sample; and then the peptide spectrum is analyzed by mass spectrometry; the details of which can be found in the mass spectrometry detection method disclosed in Chinese Patent No. CN101936948A, which is an existing public technology and will not be described here;

[0060] Ambient temperature data includes real-time ambient temperature;

[0061] In some embodiments, the real-time ambient temperature of the mass spectrometer during the detection operation is obtained, and the real-time ambient temperature is compared with a preset ambient temperature range;

[0062] If the real-time ambient temperature is within the preset ambient temperature range, a normal ambient temperature signal is generated;

[0063] If the real-time ambient temperature is not within the preset ambient temperature range, an ambient temperature abnormality signal is generated;

[0064] Generate early warning coefficient based on abnormal ambient temperature signal;

[0065] Specifically, when an abnormal ambient temperature signal is obtained, the deviation ratio within the abnormal period is obtained, and all the deviation ratios within the abnormal period are added together to obtain the warning coefficient;

[0066] The explanation of terms is: the abnormal period is the time when the abnormal ambient temperature signal is continuously generated, that is, the interval between the time when the abnormal ambient temperature signal starts to be generated and the time when the abnormal ambient temperature signal is currently generated;

[0067] Exemplarily, the process of obtaining the deviation ratio is:

[0068] The real-time ambient temperature in the abnormal period is obtained, marked as the abnormal real-time ambient temperature, and the difference between the abnormal real-time ambient temperature and the closest endpoint value of the preset ambient temperature range is calculated to obtain the real-time ambient temperature deviation value;

[0069] Calculate the ratio of the real-time ambient temperature deviation value to the preset ambient temperature range interval value (the preset ambient temperature range interval value is obtained by calculating the difference between the two end points of the preset ambient temperature range) to obtain a deviation ratio;

[0070] Step 2: Based on the early warning coefficient, the detection work of the mass spectrometer is judged to obtain the mass spectrometer detection risk signal, and then the factors are identified according to the mass spectrometer detection risk signal to obtain the risk influencing factors;

[0071] Among them, the mass spectrometry detection risk signals include environmental high risk signals and environmental low risk signals, and the risk influencing factors include equipment impact signals;

[0072] In some embodiments, obtaining a warning coefficient, and comparing the warning coefficient with a warning coefficient threshold;

[0073] If the warning coefficient is greater than or equal to the warning coefficient threshold, a high-risk environmental signal is generated;

[0074] If the warning coefficient is less than the warning coefficient threshold, a low-risk environmental signal is generated;

[0075] When a high-risk environmental signal is obtained, the real-time operating temperature and the real-time environmental temperature of the mass spectrometer during the abnormal analysis time (the length of the abnormal period corresponding to the high-risk environmental signal is marked as the abnormal analysis time) are obtained, and an impact analysis is performed to obtain an impact coefficient;

[0076] comparing the impact coefficient to an impact coefficient threshold;

[0077] If the impact coefficient is greater than or equal to the impact coefficient threshold, a device impact signal is generated;

[0078] If the impact coefficient is less than the impact coefficient threshold, a non-device impact signal is generated;

[0079] It needs to be explained that: the equipment-affected signal means that during the detection process of the mass spectrometer, the change of the ambient temperature is greatly affected by the operating temperature of the mass spectrometer, that is, the fluctuation of the operating temperature of the mass spectrometer during the detection process will cause the ambient temperature to fluctuate greatly; on the contrary, the non-equipment-affected signal means that during the detection process of the mass spectrometer, the change of the ambient temperature is less affected by the operating temperature of the mass spectrometer, that is, the fluctuation of the operating temperature of the mass spectrometer during the detection process will not cause the ambient temperature to fluctuate greatly, and it may be due to the influence of the external environment, resulting in abnormal ambient temperature;

[0080] Exemplarily, the process of obtaining the influence coefficient is:

[0081] Obtain the real-time operating temperature and real-time ambient temperature of the mass spectrometer during the abnormal analysis time, then divide the abnormal analysis time into i analysis nodes, and obtain the real-time operating temperature slope value and real-time ambient temperature slope value of each analysis node;

[0082] The difference between the real-time operating temperature slope value and the real-time ambient temperature slope value is calculated to obtain the temperature slope difference;

[0083] Then compare the temperature slope difference with the temperature slope difference threshold;

[0084] If the temperature slope difference is greater than or equal to the temperature slope difference threshold, a node dissimilar signal is generated;

[0085] If the temperature slope difference is less than the temperature slope difference threshold, a node proximity signal is generated;

[0086] Obtain the number of nodes corresponding to the node-similar signals, calculate the ratio of the number of nodes to the total number of analyzed nodes, and obtain the influence coefficient;

[0087] It should be explained that: the node dissimilar signal indicates that in the currently analyzed node, the slope corresponding to the real-time operating temperature and the slope corresponding to the real-time ambient temperature differ greatly; on the contrary, the node similar signal indicates that in the currently analyzed node, the slope corresponding to the real-time operating temperature and the slope corresponding to the real-time ambient temperature differ less;

[0088] The technical solution of the embodiment of the present invention is as follows: obtaining the ambient temperature data of the mass spectrometer during the detection process, and monitoring and analyzing the ambient temperature data to obtain the early warning coefficient; judging the detection work of the mass spectrometer based on the early warning coefficient to obtain the mass spectrometer detection risk signal, and then identifying the factors according to the mass spectrometer detection risk signal to obtain the risk influencing factors; the present invention uses the ambient temperature as a parameter, first performs a deviation early warning analysis, and then performs a risk impact analysis, so that the mass spectrometer can be monitored, analyzed and judged in real time during the tumor detection process by taking the ambient temperature as a reference, and the influencing factors of the risk situation are obtained, so as to facilitate timely and effective feedback during the tumor mass spectrometer detection process, and ensure that the mass spectrometer completes the detection work normally and stably.

[0089] Example 2

[0090] See also Figure 2 As shown, the present invention is a mass spectrometry detection method and system based on tumors, which also includes the following steps:

[0091] Step 3: Generate corresponding feedback work signals based on risk influencing factors;

[0092] Among them, the feedback working signal includes equipment inspection working signal and environment control working signal;

[0093] In some embodiments, when a device-affecting signal is obtained, a device inspection working signal is generated to perform a device inspection on the mass spectrometer; when a non-device-affecting signal is obtained, an environment control working signal is generated to control the ambient temperature of the mass spectrometer;

[0094] Step 4: According to the environmental control working signal, the control coefficient is obtained to control the current mass spectrometer ambient temperature;

[0095] Among them, the control coefficient includes the ambient temperature control rate;

[0096] In some embodiments, when the control processing work is obtained, the real-time ambient temperature deviation value is obtained, the ambient temperature correction value is obtained, and then the real-time ambient temperature slope value is obtained to obtain the ambient temperature correction slope, and the ambient temperature correction value is calculated by ratio with the ambient temperature correction slope to obtain the ambient temperature correction time;

[0097] Based on the ambient temperature correction time, the ambient temperature correction time and the abnormal analysis time are calculated to obtain the correction time efficiency ratio;

[0098] comparing the corrected time effectiveness ratio to a corrected time effectiveness ratio threshold;

[0099] If the correction time efficiency ratio is less than the correction time efficiency ratio threshold, a correction qualified signal is generated. When the correction qualified signal is obtained, the formula , calculate the ambient temperature control rate KT1, where THd is the current real-time ambient temperature (i.e. the real-time ambient temperature at the end of the abnormal analysis time), and TJ is the ambient temperature correction time;

[0100] If the correction time efficiency ratio is greater than or equal to the correction time efficiency ratio threshold, a correction failure signal is generated. When a correction failure signal is obtained, the formula , calculate the ambient temperature control rate KT2, where THd is the current real-time ambient temperature (i.e. the real-time ambient temperature at the end of the abnormal analysis time), TJ is the ambient temperature correction time, is the correction factor;

[0101] The obtained ambient temperature control rate KT1 is sent to the sensor of the temperature control device, and the temperature control device operates according to the ambient temperature control rate KT1 or the ambient temperature control rate KT2 to control the ambient temperature of the mass spectrometer;

[0102] Preferably, The acquisition process is: calculate the ratio of the correction time efficiency ratio to the correction time efficiency ratio threshold to obtain the correction factor ;

[0103] Exemplarily, the process of obtaining the ambient temperature correction value is as follows:

[0104] Obtaining the real-time ambient temperature deviation value, extracting the maximum real-time ambient temperature deviation value, and recording the maximum real-time ambient temperature deviation value as the ambient temperature correction value;

[0105] The process of obtaining the ambient temperature correction slope is:

[0106] Obtain the real-time ambient temperature slope value, extract the maximum real-time ambient temperature slope value, and record the maximum real-time ambient temperature slope value as the ambient temperature correction slope;

[0107] The technical solution of the embodiment of the present invention is as follows: based on the risk influencing factors, a corresponding feedback working signal is generated; according to the environmental control working signal, a control coefficient is obtained to control the current mass spectrometer ambient temperature; the present invention timely feedbacks the generated risk influencing factors, so that the mass spectrometer can provide timely and effective feedback based on the early warning signal during the tumor detection process, thereby avoiding the problem that abnormal tumor detection cannot be effectively intervened, resulting in inaccurate final detection results; then, according to the obtained control work, combined with the ambient temperature deviation value and the ambient temperature slope, the ambient temperature correction time is obtained, based on which the ambient temperature is effectively controlled in real time to ensure that the mass spectrometer can operate at a reasonable ambient temperature, thereby effectively improving the accuracy of the mass spectrometer in tumor detection.

[0108] Example 3

[0109] See also Figure 3 As shown, the present invention is a mass spectrometry detection system based on tumors, the system comprising:

[0110] Early warning module: obtains the ambient temperature data of the mass spectrometer during the tumor detection process, and monitors and analyzes the ambient temperature data to obtain an early warning coefficient; wherein the ambient temperature data includes the real-time ambient temperature;

[0111] Identification module: Based on the early warning coefficient, the detection work of the mass spectrometer is judged to obtain the mass spectrometer detection risk signal, and then the factors are identified according to the mass spectrometer detection risk signal to obtain the risk influencing factors;

[0112] Among them, the mass spectrometry detection risk signals include environmental high risk signals and environmental low risk signals;

[0113] Execution module: Generates corresponding feedback work signals based on risk influencing factors;

[0114] Control module: obtains the control coefficient according to the environmental control working signal and controls the current mass spectrometer ambient temperature;

[0115] Among them, the control coefficient includes the ambient temperature control rate.

[0116] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0117] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A mass spectrometry detection method based on tumors, characterized in that: The following steps are involved: Step 1: Obtaining ambient temperature data of the mass spectrometer during tumor detection, and performing monitoring and analysis based on the ambient temperature data to obtain an early warning coefficient; wherein the ambient temperature data includes real-time ambient temperature; Step 2: Based on the early warning coefficient, the detection work of the mass spectrometer is judged to obtain the mass spectrometer detection risk signal, and then the factors are identified according to the mass spectrometer detection risk signal to obtain the risk influencing factors; Among them, the mass spectrometry detection risk signals include environmental high risk signals and environmental low risk signals; Step 3: Generate corresponding feedback work signals based on risk influencing factors; Step 4: According to the environmental control working signal, the control coefficient is obtained to control the current mass spectrometer ambient temperature; Among them, the control coefficient includes the ambient temperature control rate; In step 1, the process of obtaining the warning coefficient is: When an abnormal ambient temperature signal is obtained, the deviation ratio within the abnormal period is obtained, and all the deviation ratios within the abnormal period are added together to obtain the early warning coefficient; The abnormal period is: the time when the abnormal ambient temperature signal is continuously generated; The process of obtaining the deviation ratio is: The real-time ambient temperature in the abnormal period is obtained, marked as the abnormal real-time ambient temperature, and the difference between the abnormal real-time ambient temperature and the closest endpoint value of the preset ambient temperature range is calculated to obtain the real-time ambient temperature deviation value; Calculate the ratio of the real-time ambient temperature deviation value to the preset ambient temperature range interval value to obtain the deviation ratio; In step 2, the process of factor identification is: When a high-risk environmental signal is obtained, the real-time operating temperature and real-time environmental temperature of the mass spectrometer during the abnormal analysis time are obtained, and an impact analysis is performed to obtain an impact coefficient; If the impact coefficient is greater than or equal to the impact coefficient threshold, a device impact signal is generated; If the impact coefficient is less than the impact coefficient threshold, a non-device impact signal is generated; Abnormal analysis time is: the length of the abnormal period corresponding to the high-risk environmental signal; The process of obtaining the influence coefficient is as follows: Obtain the real-time operating temperature and real-time ambient temperature of the mass spectrometer during the abnormal analysis time, divide the abnormal analysis time into i analysis nodes, and obtain the real-time operating temperature slope value and real-time ambient temperature slope value of each analysis node; The difference between the real-time operating temperature slope value and the real-time ambient temperature slope value is calculated to obtain the temperature slope difference; If the temperature slope difference is less than the temperature slope difference threshold, a node proximity signal is generated; Obtain the number of nodes corresponding to the node-similar signals, calculate the ratio of the number of nodes to the total number of analyzed nodes, and obtain the influence coefficient; In step 3, the feedback working signal includes an equipment inspection working signal and an environment control working signal; When an equipment impact signal is obtained, an equipment inspection work signal is generated to perform equipment inspection on the mass spectrometer; when a non-equipment impact signal is obtained, an environment control work signal is generated to control the ambient temperature of the mass spectrometer.

2. A tumor-based mass spectrometry detection method according to claim 1, characterized in that: If the real-time ambient temperature is not within the preset ambient temperature range, an ambient temperature abnormality signal is generated.

3. A tumor-based mass spectrometry detection method according to claim 1, characterized in that: In step 2, the warning coefficient is obtained, and the warning coefficient is compared with the warning coefficient threshold; If the warning coefficient is greater than or equal to the warning coefficient threshold, a high-risk environmental signal is generated.

4. The mass spectrometry detection method based on tumor according to claim 1, characterized in that: In step 4, when the control processing work is obtained, the real-time ambient temperature deviation value is obtained, the ambient temperature correction value is obtained, and then the real-time ambient temperature slope value is obtained to obtain the ambient temperature correction slope, and the ambient temperature correction value is calculated by ratio with the ambient temperature correction slope to obtain the ambient temperature correction time; Based on the ambient temperature correction time, the ambient temperature correction time and the abnormal analysis time are calculated to obtain the correction time efficiency ratio; If the correction time efficiency ratio is less than the correction time efficiency ratio threshold, a correction qualified signal is generated. When the correction qualified signal is obtained, the formula , calculate the ambient temperature control rate KT1, where THd is the current real-time ambient temperature and TJ is the ambient temperature correction time; The process of obtaining the ambient temperature correction value is as follows: Obtaining the real-time ambient temperature deviation value, extracting the maximum real-time ambient temperature deviation value, and recording the maximum real-time ambient temperature deviation value as the ambient temperature correction value; The process of obtaining the ambient temperature correction slope is: The real-time ambient temperature slope value is obtained, and the maximum real-time ambient temperature slope value is extracted, and the maximum real-time ambient temperature slope value is recorded as the ambient temperature correction slope.

5. A tumor-based mass spectrometry detection system, characterized in that: The system is used to execute the method described in any one of claims 1 to 4 above, and the system comprises: Early warning module: obtains the ambient temperature data of the mass spectrometer during the tumor detection process, and monitors and analyzes the ambient temperature data to obtain an early warning coefficient; wherein the ambient temperature data includes the real-time ambient temperature; Identification module: Based on the early warning coefficient, the detection work of the mass spectrometer is judged to obtain the mass spectrometer detection risk signal, and then the factors are identified according to the mass spectrometer detection risk signal to obtain the risk influencing factors; Among them, the mass spectrometry detection risk signals include environmental high risk signals and environmental low risk signals; Execution module: Generates corresponding feedback work signals based on risk influencing factors; Control module: obtains the control coefficient according to the environmental control working signal and controls the current mass spectrometer ambient temperature; Among them, the control coefficient includes the ambient temperature control rate; Early warning module: The process of obtaining the early warning coefficient is as follows: When an abnormal ambient temperature signal is obtained, the deviation ratio within the abnormal period is obtained, and all the deviation ratios within the abnormal period are added together to obtain the early warning coefficient; The abnormal period is: the time when the abnormal ambient temperature signal is continuously generated; The process of obtaining the deviation ratio is: The real-time ambient temperature in the abnormal period is obtained, marked as the abnormal real-time ambient temperature, and the difference between the abnormal real-time ambient temperature and the closest endpoint value of the preset ambient temperature range is calculated to obtain the real-time ambient temperature deviation value; Calculate the ratio of the real-time ambient temperature deviation value to the preset ambient temperature range interval value to obtain the deviation ratio; Identification module: The process of factor identification is: When a high-risk environmental signal is obtained, the real-time operating temperature and real-time environmental temperature of the mass spectrometer during the abnormal analysis time are obtained, and an impact analysis is performed to obtain an impact coefficient; If the impact coefficient is greater than or equal to the impact coefficient threshold, a device impact signal is generated; If the impact coefficient is less than the impact coefficient threshold, a non-device impact signal is generated; Abnormal analysis time is: the length of the abnormal period corresponding to the high-risk environmental signal; The process of obtaining the influence coefficient is as follows: Obtain the real-time operating temperature and real-time ambient temperature of the mass spectrometer during the abnormal analysis time, divide the abnormal analysis time into i analysis nodes, and obtain the real-time operating temperature slope value and real-time ambient temperature slope value of each analysis node; The difference between the real-time operating temperature slope value and the real-time ambient temperature slope value is calculated to obtain the temperature slope difference; If the temperature slope difference is less than the temperature slope difference threshold, a node proximity signal is generated; Obtain the number of nodes corresponding to the node-similar signals, calculate the ratio of the number of nodes to the total number of analyzed nodes, and obtain the influence coefficient; Execution module: Feedback work signals include equipment inspection work signals and environment control work signals; When an equipment impact signal is obtained, an equipment inspection work signal is generated to perform equipment inspection on the mass spectrometer; when a non-equipment impact signal is obtained, an environment control work signal is generated to control the ambient temperature of the mass spectrometer.

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